Dissertations / Theses: 'Image quality analysis'

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Gadkari, Dhanashree. "IMAGE QUALITY ANALYSIS USING GLCM." Master's thesis, University of Central Florida, 2004. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3246.

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Gray level co-occurrence matrix has proven to be a powerful basis for use in texture classification. Various textural parameters calculated from the gray level co-occurrence matrix help understand the details about the overall image content. The aim of this research is to investigate the use of the gray level co-occurrence matrix technique as an absolute image quality metric. The underlying hypothesis is that image quality can be determined by a comparative process in which a sequence of images is compared to each other to determine the point of diminishing returns. An attempt is made to study whether the curve of image textural features versus image memory sizes can be used to decide the optimal image size. The approach used digitized images that were stored at several levels of compression. GLCM proves to be a good discriminator in studying different images however no such claim can be made for image quality. Hence the search for the best image quality metric continues.
M.S.
Other
Arts and Sciences
Modeling and Simulation

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Solano, Solano David. "Image quality analysis in dual-source CT." [S.l. : s.n.], 2008. http://nbn-resolving.de/urn:nbn:de:bsz:16-opus-89891.

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Plaisted, Parker Bennett. "An investigation of point image analysis for evaluating holographic image quality /." Online version of thesis, 1993. http://hdl.handle.net/1850/11878.

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A-iyeh, Enoch. "Voronoi tessellation quality: applications in digital image analysis." A-iyeh E., Peters, J.F, Proximal Groupoid Patterns in Digital Images, Computing Research Repository: Computer Vision and Pattern Recognition, 2016, 2017. http://hdl.handle.net/1993/32055.

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A measure of the quality of Voronoi tessellations resulting from various mesh generators founded on feature-driven models is introduced in this work. A planar tessellation covers an image with polygons of various shapes and sizes. Tessellations have potential utility due to their geometry and the opportunity to derive useful information from them for object recognition, image processing and classification. Problem domains including images are generally feature-endowed, non-random domains. Generators modeled otherwise may easily guarantee quality of meshes but certainly bear no reference to features of the meshed problem domain. They are therefore unsuitable in point pattern identification, characterization and subsequently the study of meshed regions. We therefore found generators on features of the problem domain. This provides a basis for element quality studies and improvement based on quality criteria. The resulting polygonal meshes tessellating an n-dimensional digital image into convex regions are of varying element qualities. Given several types of mesh generating sets, a measure of overall solution quality is introduced to determine their effectiveness. Given a tessellation of general and mixed shapes, this presents a challenge in quality improvement. The Centroidal Voronoi Tessellation (CVT) technique is developed for quality improvement and guarantees of mixed, general-shaped elements and to preserve the validity of the tessellations. Mesh quality indicators and entropies introduced are useful for pattern studies, analysis, recognition and assessing information. Computed features of tessellated spaces are explored for image information content assessment and cell processing to expose detail using information theoretic methods. Tessellated spaces also furnish information on pattern structure and organization through their quality distributions. Mathematical and theoretical results obtained from these spaces help in understanding Voronoi diagrams as well as for their successful applications. Voronoi diagrams expose neighbourhood relations between pattern units. Given this realization, the foundation of near sets is developed for further applications.
February 2017

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Basnandan, Anneil. "Image analysis of carpet tufting." Thesis, Georgia Institute of Technology, 2003. http://hdl.handle.net/1853/18213.

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Li, Jun. "Image texture decomposition and application in food quality analysis /." free to MU campus, to others for purchase, 2001. http://wwwlib.umi.com/cr/mo/fullcit?p3036842.

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Green, Richard. "Quantitative assessment of bone quality using image guided failure analysis." Thesis, University of Manchester, 2012. https://www.research.manchester.ac.uk/portal/en/theses/quantitative-assessment-of-bone-quality-using-image-guided-failure-analysis(7aefbd56-4f20-4fb3-97be-7e350ddd5526).html.

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Bone quality influences bone strength with important consequences for osteoporosis, fracture risk and dental implant success. Whilst imaging that is capable of capturing bone structure in 3D is becoming more common, quantitative clinical measures of bone quality rely on bone quantity, not structure. If bone quality could be more accurately measured, and the influence of bone architecture better understood, strength may be better predicted. This thesis presents methods for making structural comparisons between successive micro-CT images of loaded bone and explores the limitations of these. I present a novel method to detect where damage occurs in loaded rat vertebrae based on multiscale rigid registration and difference measures. Together these methods represent a quantitative approach to image guided failure analysis. Time-lapsed micro-CT images of 14 successively loaded rat vertebrae were acquired and damaged regions found using these. Using a random forest classifier I tested whether the damaged regions could be predicted by several commonly used structural measures (bone area and volume), three-dimensional texture measures (co-occurrence matrices and fractal dimension) and a more novel type of architectural measure (based on the structure tensor). A combination of parameters was able to predict damage regions with specificities in the range 70-90% and sensitivities of 60-70%.Using ovariectomised rats as a model of osteoporosis I have performed a pilot experiment to investigate how changes in bone quality might effect our results. The wider applicability of my methods are demonstrated by applying them to dental cone beam images of healthy and osteoporotic patients.

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Saxena, Abhinav. "Online web monitoring of card-spinning using image analysis." Thesis, Georgia Institute of Technology, 2003. http://hdl.handle.net/1853/8261.

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Abel, Derek H. "An image quality analysis of ANVIS-6 night vision goggles." Thesis, This resource online, 1994. http://scholar.lib.vt.edu/theses/available/etd-11102009-020251/.

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Feng, Si. "Enhancing the image quality of digital breast tomosynthesis." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/52151.

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A novel imaging technology, digital breast tomosynthesis (DBT), is a technique that overcomes the tissue superposition limitation of conventional mammography by acquiring a limited number of X-ray projections from a narrow angular range, and combining these projections to reconstruct a pseudo-3D image. The emergence of DBT as a potential replacement or adjunct to mammographic screening mandates that solutions be found to two of its major limitations, namely X-ray scatter and mono-energetic reconstruction methods. A multi-faceted software-based approach to enhance the image quality of DBT imaging has the potential to increase the sensitivity and specificity of breast cancer detection and diagnosis. A scatter correction (SC) algorithm and a spectral reconstruction (SR) algorithm are both ready for implementation and clinical evaluation in a DBT system and exhibit the potential to improve image quality. A principal component analysis (PCA) based model of breast shape and a PCA model of X-ray scatter optimize the SC algorithm for the clinical realm. In addition, a comprehensive dosimetric characterization of a FDA approved DBT system has also been performed, and the feasibility of a new dual-spectrum, single-acquisition DBT imaging technique has also been evaluated.

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Tasyumruk, Lutfullah. "Analysis of voice quality problems of Voice Over Internet Protocol (VoIP)." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2003. http://library.nps.navy.mil/uhtbin/hyperion-image/03sep%5FTasyumruk.pdf.

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Zhu, Yuehan. "Automated Supply-Chain Quality Inspection Using Image Analysis and Machine Learning." Thesis, Högskolan Kristianstad, Fakulteten för naturvetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hkr:diva-20069.

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An image processing method for automatic quality assurance of Ericsson products is developed. The method consists of taking an image of the product, extract the product labels from the image, OCR the product numbers and make a database lookup to match the mounted product with the customer specification. The engineering innovation of the method developed in this report is that the OCR is performed using machine learning techniques. It is shown that machine learning can produce results that are on par or better than baseline OCR methods. The advantage with a machine learning based approach is that the associated neural network can be trained for the specific input images from the Ericsson factory. Imperfections in the image quality and varying type fonts etc. can be handled by properly training the net, a task that would have been very difficult with legacy OCR algorithms where poor OCR results typically need to be mitigated by improving the input image quality rather than changing the algorithm.

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Kumara, Muthukudage Jayantha. "Automated Real-time Objects Detection in Colonoscopy Videos for Quality Measurements." Thesis, University of North Texas, 2013. https://digital.library.unt.edu/ark:/67531/metadc283843/.

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The effectiveness of colonoscopy depends on the quality of the inspection of the colon. There was no automated measurement method to evaluate the quality of the inspection. This thesis addresses this issue by investigating an automated post-procedure quality measurement technique and proposing a novel approach automatically deciding a percentage of stool areas in images of digitized colonoscopy video files. It involves the classification of image pixels based on their color features using a new method of planes on RGB (red, green and blue) color space. The limitation of post-procedure quality measurement is that quality measurements are available long after the procedure was done and the patient was released. A better approach is to inform any sub-optimal inspection immediately so that the endoscopist can improve the quality in real-time during the procedure. This thesis also proposes an extension to post-procedure method to detect stool, bite-block, and blood regions in real-time using color features in HSV color space. These three objects play a major role in quality measurements in colonoscopy. The proposed method partitions very large positive examples of each of these objects into a number of groups. These groups are formed by taking intersection of positive examples with a hyper plane. This hyper plane is named as 'positive plane'. 'Convex hulls' are used to model positive planes. Comparisons with traditional classifiers such as K-nearest neighbor (K-NN) and support vector machines (SVM) proves the soundness of the proposed method in terms of accuracy and speed that are critical in the targeted real-time quality measurement system.

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Gipey, Collins D. "Manganese analysis and speciation in freshwater lakes and reservoirs /." [St. Lucia, Qld.], 2001. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe16202.pdf.

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Alrished, Mohamad Ayad A. "A quantitative analysis and assessment of the performance of image quality metrics." Thesis, Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/128987.

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Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2020
Cataloged from student-submitted PDF of thesis.
Includes bibliographical references (pages 79-82).
Image quality assessment addresses the distortion levels and the perceptual quality of a restored or corrupted image. A plethora of metrics has been developed to that end. The usual mean of success of an image quality metric is their ability to agree with the opinions of human subjects, often represented by the mean opinion score. Despite the promising performance of some image quality metrics in predicting the mean opinion score, several problems are still unaddressed. This thesis focuses on analyzing and assessing the performance of image quality metrics. To that end, this work proposes an objective assessment criterion and considers three indicators related to the metrics: (i) robustness to local distortions; (ii) consistency in their values'; and (iii) sensitivity to distortion parameters. In addition, the implementation procedures of the proposed indicators is presented. The thesis then analyzes and assesses several image quality metrics using the developed indicators for images corrupted with Gaussian noise. This work uses both widely-used public image datasets and self-designed controlled cases to measure the performance of IQMs. The results indicate that some image quality metrics are prone to poor performance depending on the number of features. In addition, the work shows that the consistency in IQMs' values depends on the distortion level. Finally, the results highlight the sensitivity of different metrics to the Gaussian noise parameter. The objective methodology in this thesis unlocks additional insights regarding the performance of IQMs. In addition to the subjective assessment, studying the properties of IQMs outlined in the framework helps in finding a metric suitable for specific applications.
by Mohamad Ayad A. Alrished.
S.M.
S.M. Massachusetts Institute of Technology, Department of Mechanical Engineering

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Cerviño, Alejandro. "Optimising the clinical analysis of retinal image quality in the human eye." Thesis, Aston University, 2007. http://publications.aston.ac.uk/14646/.

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Visual perception is dependent on both light transmission through the eye and neuronal conduction through the visual pathway. Advances in clinical diagnostics and treatment modalities over recent years have increased the opportunities to improve the optical path and retinal image quality. Higher order aberrations and retinal straylight are two major factors that influence light transmission through the eye and ultimately, visual outcome. Recent technological advancements have brought these important factors into the clinical domain, however the potential applications of these tools and considerations regarding interpretation of data are much underestimated. The purpose of this thesis was to validate and optimise wavefront analysers and a new clinical tool for the objective evaluation of intraocular scatter. The application of these methods in a clinical setting involving a range of conditions was also explored. The work was divided into two principal sections: 1. Wavefront Aberrometry: optimisation, validation and clinical application The main findings of this work were: • Observer manipulation of the aberrometer increases variability by a factor of 3. • Ocular misalignment can profoundly affect reliability, notably for off-axis aberrations. • Aberrations measured with wavefront analysers using different principles are not interchangeable, with poor relationships and significant differences between values. • Instrument myopia of around 0.30D is induced when performing wavefront analysis in non-cyclopleged eyes; values can be as high as 3D, being higher as the baseline level of myopia decreases. Associated accommodation changes may result in relevant changes to the aberration profile, particularly with respect to spherical aberration. • Young adult healthy Caucasian eyes have significantly more spherical aberration than Asian eyes when matched for age, gender, axial length and refractive error. Axial length is significantly correlated with most components of the aberration profile. 2. Intraocular light scatter: Evaluation of subjective measures and validation and application of a new objective method utilising clinically derived wavefront patterns. The main findings of this work were: • Subjective measures of clinical straylight are highly repeatable. Three measurements are suggested as the optimum number for increased reliability. • Significant differences in straylight values were found for contact lenses designed for contrast enhancement compared to clear lenses of the same design and material specifications. Specifically, grey/green tints induced significantly higher values of retinal straylight. • Wavefront patterns from a commercial Hartmann-Shack device can be used to obtain objective measures of scatter and are well correlated with subjective straylight values. • Perceived retinal stray light was similar in groups of patients implanted with monofocal and multi focal intraocular lenses. Correlation between objective and subjective measurements of scatter is poor, possibly due to different illumination conditions between the testing procedures, or a neural component which may alter with age. Careful acquisition results in highly reproducible in vivo measures of higher order aberrations; however, data from different devices are not interchangeable which brings the accuracy of measurement into question. Objective measures of intraocular straylight can be derived from clinical aberrometry and may be of great diagnostic and management importance in the future.

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Madaan, Puneet. "Texture analysis of PET scans as a tool for image quality assessment." Thesis, University of Iowa, 2012. https://ir.uiowa.edu/etd/2575.

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Rapp, Joshua. "Spatial analysis of catchment characteristics in relation to water quality using remote sensing and geographic information systems /." Spatial analysis of catchment characteristics in relation to water quality using remote sensing and geographic information systemsRead the abstract of the thesis, 2003. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe17469.pdf.

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Al-khedher, Mohammad Abdelfatah. "Carbon nanotubes characterization and quality analysis using artificial intelligence." Online access for everyone, 2007. http://www.dissertations.wsu.edu/Dissertations/Spring2007/m_al-khedher_041907.pdf.

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Mahalingam, Vijay Venkatesh. "WAVELET AND SINE BASED ANALYSIS OF PRINT QUALITY EVALUATIONS." UKnowledge, 2004. http://uknowledge.uky.edu/gradschool_theses/244.

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Recent advances in imaging technology have resulted in a proliferation of images across different media. Before it reaches the end user, these signals undergo several transformations, which may introduce defects/artifacts that affect the perceived image quality. In order to design and evaluate these imaging systems, perceived image quality must be measured. This work focuses on analysis of print image defects and characterization of printer artifacts such as banding and graininess by using a human visual system (HVS) based framework. Specifically the work addresses the prediction of visibility of print defects (banding and graininess) by representing the print defects in terms of the orthogonal wavelet and sinusoidal basis functions and combining the detection probabilities of each basis functions to predict the response of the human visual system (HVS). The detection probabilities for basis function components and the simulated print defects are obtained from separate subjective tests. The prediction performance from both the wavelet based and sine based approaches is compared with the subjective testing results .The wavelet based prediction performs better than the sinusoidal based approach and can be a useful technique in developing measures and methods for print quality evaluations based on HVS.

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Ruiz-Laverde, Manuel Fabián. "Image quality analysis of the reproductions of black and white photographs obtained from a desktop publishing system /." Online version of thesis, 1989. http://ritdml.rit.edu/handle/1850/11485.

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Roman-Gonzalez, Avid. "Compression Based Analysis of Image Artifacts: Application to Satellite Images." Phd thesis, Telecom ParisTech, 2013. http://tel.archives-ouvertes.fr/tel-00935029.

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This thesis aims at an automatic detection of artifacts in optical satellite images such as aliasing, A/D conversion problems, striping, and compression noise; in fact, all blemishes that are unusual in an undistorted image. Artifact detection in Earth observation images becomes increasingly difficult when the resolution of the image improves. For images of low, medium or high resolution, the artifact signatures are sufficiently different from the useful signal, thus allowing their characterization as distortions; however, when the resolution improves, the artifacts have, in terms of signal theory, a similar signature to the interesting objects in an image. Although it is more difficult to detect artifacts in very high resolution images, we need analysis tools that work properly, without impeding the extraction of objects in an image. Furthermore, the detection should be as automatic as possible, given the quantity and ever-increasing volumes of images that make any manual detection illusory. Finally, experience shows that artifacts are not all predictable nor can they be modeled as expected. Thus, any artifact detection shall be as generic as possible, without requiring the modeling of their origin or their impact on an image. Outside the field of Earth observation, similar detection problems have arisen in multimedia image processing. This includes the evaluation of image quality, compression, watermarking, detecting attacks, image tampering, the montage of photographs, steganalysis, etc. In general, the techniques used to address these problems are based on direct or indirect measurement of intrinsic information and mutual information. Therefore, this thesis has the objective to translate these approaches to artifact detection in Earth observation images, based particularly on the theories of Shannon and Kolmogorov, including approaches for measuring rate-distortion and pattern-recognition based compression. The results from these theories are then used to detect too low or too high complexities, or redundant patterns. The test images being used are from the satellite instruments SPOT, MERIS, etc. We propose several methods for artifact detection. The first method is using the Rate-Distortion (RD) function obtained by compressing an image with different compression factors and examines how an artifact can result in a high degree of regularity or irregularity affecting the attainable compression rate. The second method is using the Normalized Compression Distance (NCD) and examines whether artifacts have similar patterns. The third method is using different approaches for RD such as the Kolmogorov Structure Function and the Complexity-to-Error Migration (CEM) for examining how artifacts can be observed in compression-decompression error maps. Finally, we compare our proposed methods with an existing method based on image quality metrics. The results show that the artifact detection depends on the artifact intensity and the type of surface cover contained in the satellite image.

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Olsén, Christina. "Towards Automatic Image Analysis for Computerised Mammography." Doctoral thesis, Umeå University, Computing Science, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-1657.

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Mammographic screening is an effective way to detect breast cancer. Early detection of breast cancer depends to a high degree on the adequacy of the mammogram from which the diagnosis is made. Today, most of the analysis of the mammogram is performed by radiologists. Computer-aided diagnosis (CAD) systems have been proposed as an aid to increase the efficiency and effectiveness of the screening procedure by automatically indicating abnormalities in the mammograms. However, in order for a CAD system to be stable and efficient, the input images need to be adequate. Criteria for adequacy include: high resolution, low image noise and high image contrast. Additionally, the breast needs to be adequately positioned and compressed to properly visualise the entire breast and especially the glandular tissue.

This thesis addresses questions regarding the automatic determination of mammogram adequacy with the focus on breast positioning and segmentation evaluation. The goal and, thus, the major technical challenge is to develop algorithms that support fully automatic quality checks. The relevant quality criteria are discussed in Chapter 2. The aim of this discussion is to compile a comprehensive list of necessary criteria that a system for automatic assessment of mammographic adequacy must satisfy. Chapter 3 gives an overview of research performed in computer-aided analysis of mammograms. It also provides basic knowledge about image analysis involved in the research area of computerized mammography in general, and in the papers of this thesis, in particular. In contrast, Chapter 4 describes basic knowledge about segmentation evaluation, which is a highly important component in image analysis. Papers I–IV propose algorithms for measuring the quality of a mammogram according to certain criteria and addresses problems related to them. A method for automatic analysis of the shape of the pectoralis muscle is presented in Paper I. Paper II proposes a fully automatic method for extracting the breast border. A geometric assumption used by radiologists is that the nipple is located at the point on the breast border being furthest away from the pectoralis muscle. This assumption is investigated in Paper III, and a method for automatically restricting the search area is proposed. There has been an increasing need to develop an automated segmentation algorithm for extracting the glandular tissue, where the majority of breast cancer occur. In Paper IV, a novel approach for solving this problem in a robust and accurate way is proposed. Paper V discusses the challenges involved in evaluating the quality of segmentation algorithms based on ground truths provided by an expert panel. A method to relate ground truths provided by several experts to each other in order to establish levels of agreement is proposed. Furthermore, this work is used to develop an algorithm that combines an ensemble of markings into one surrogate ground truth.

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Tchan, Jack Soning. "Development of an image analysis system to produce a standardised assessment of print quality." Thesis, Open University, 1998. http://oro.open.ac.uk/57912/.

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A method has been developed using an image analysis system that simulates human print quality perception. Previous work in the area of print quality assessment has only produced methods that measure individual print quality variables, or assess small parts of an image. The image analysis system developed in this investigation is different from the previous work because it analyses the combined effects of different variables using neural network technology. In addition, measurements from an entire image can be obtained and the system can assess images irrespective of their shape. The image analysis system hardware consists of a monochrome CCD camera, a Matrox image acquisition board and a 200 MHz Pentium computer. A data pre-processing program was developed using Visual Basic version 5 to process the image data from the camera. The processed data was fed into a neural network so that empirical models of print quality could be formulated. The neural network code originated from the Matlab neural network toolbox. Backpropagation and radial basis neural network functions were used in the investigation. The hardware and software of the image analysis system were tested for non-impact printing techniques. Images of a square, a circle and text characters with dimensions of 1 cm or less were used as test images for the image analysis system. It was established that it was possible to identify the different printing processes that produced the simple shapes and text characters using the image analysis system. This was achieved by training the neural network using pre-processed image data. This produced multi-dimensional mathematical models that were used to classify the different printing processes. The classification of the different printing processes involved the objective measurement of print quality variables. Different printing processes can produce print that differs in print quality when assessed by observers. Therefore the successful classification of the printing processes demonstrated that the image analysis system could, in some cases, simulate human print quality perception. To consolidate on the preceding printing process identification result, a simulation of print quality perception was made. A neural network was trained using observer assessments of a simple pictorial image of a face. These face images were produced using a variety of different non-impact printing techniques. The neural network model was used to predict the outcomes of a further set of assessments of face images by the same observer. The accuracy of the predictions was 23 out of 24 for both the backpropagation and radial basis function neural network functions used in the test. The investigation also produced two possible practical applications for the system. Firstly, it was shown that the system has the potential to be used as a machine that can objectively assess the print quality from photocopiers. Secondly, it was demonstrated that the system might be used for forensic work, since it can identify different printing processes.

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Garcia, Sanchez Yaiza. "Analysis of retinal image quality for peripheral vision in humans and pigeons (Columba livia)." Thesis, Cardiff University, 2012. http://orca.cf.ac.uk/41966/.

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Retinal image quality for peripheral as well as central visual field locations has been investigated in humans and an animal model (Columba livia) with wide- angle, panoramic vision because of its laterally oriented eyes. The goal was to determine whether the retinal image is maintained at a higher quality away from the fovea in pigeons as compared to humans. In this thesis, the HSWFS (Hart- mann Shack Wavefront Sensor) has been implemented with the correspondent validation and application for measuring ocular aberrations in the human and avian eye. Using a modified HSWFS, the refractive error and total amount of ocular aberra- tions were measured for 20 pigeons along the horizontal meridian and for another 8 pigeons in the vertical meridian at three positions along the horizontal meridian. The HOA( High order aberrations) of 10 humans were measured at peripheral locations (±35 ◦) in the upper visual field and along the horizontal meridian. The anaesthetized animal’s head position was controlled by a stereotaxic head holder capable of horizontal and vertical rotation. Measured eccentricities were(±60◦) from the fovea in the horizontal meridian and +35 ◦ and -25 ◦ along each of the three vertical meridians. In pigeons, the LOA (astigmatism) on the horizontal meridian increase slightly from the center towards the far periphery but are relatively constant for ±20◦ around the fovea, whereas defocus remains almost constant. Vertical meridian measurements are consistent with the previously reported myopia in the lower visual field. Compared with measurements in human subjects, the overall values of RMS are much lower in the pigeon at all corresponding eccentricities. Off-axis vision is generally dominated by defocus and astigmatism. In pigeons, however, defocus along the horizontal meridian does not change dramatically whereas, along the vertical meridian, the presence of a lower field myopia is confirmed. Astigmatism of the eye for increasing eccentricity (horizontally and vertically) is consistently lower then expected theoretically and when compared with humans. This demonstrates that the visual optics of the pigeon are more fully corrected for peripheral vision than in humans.

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Szatvanyi, Gérard Silard. "Improving Quality and Combustion Control in Pyrometallurgical Processes Using Multivariate Image Analysis of Flames." Thesis, Université Laval, 2006. http://www.theses.ulaval.ca/2006/23666/23666.pdf.

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La combustion est utilisé dans l’industrie chimique et du traitement des minéraux dans le but de produire de la vapeur dans les chaudières, de sécher les concentrés dans les fours rotatifs, et d’appliquer des traitements thermiques dans les fours pyrométallurgiques. Le contrôle serré de la combustion dans ces fours est très important parce que les conditions de combustion affectent directement la qualité du produit fini. Arriver à un contrôle serré de la combustion n’est pas facile à cause du fait que les flammes qu’on retrouve dans ces industries sont obtenues avec des combustibles non pré-mélangés et aussi parce que la combustion est affectée par des perturbations non-mesurées comme l’utilisation fréquente de plusieurs combustibles, certains étant des sous-produits de l’usine, et de débit et composition variables. Une nouvelle méthode est proposée dans cette étude afin d’améliorer le contrôle de la qualité des produits de ces fours tout en réduisant la consommation de carburants. Cette méthode s’appuie sur l’extraction d’information provenant d’images de flammes. La méthode d’analyse et de régression sur les images multivariées est utilisée pour l’extraction des caractéristiques de couleur de la flamme qui sont ensuite utilisées pour prédire la température de décharge des solides d’un four rotatif (qualité). Cette étude démontre que cette méthode est capable de très bien prédire la température de décharge du solide 20, 40, et jusqu’à 80 minutes dans le futur. Ceci devrait permettre une réduction substantielle de la variabilité de la qualité du produit et de la consommation de combustible.
Combustion is used throughout the mineral processing industry to produce steam in boilers, to dry concentrates in rotary dryers, and to apply heat treatments in pyrometallurgical furnaces. Tight combustion control is very important in the latter type of furnace since the combustion conditions directly affect final ore quality. However, achieving tight combustion control is not straightforward since most of the flames encountered in industry are turbulent non-premixed flames, they are affected by several unmeasured disturbances, various flow rates, continuous variation in the mix between fuels since they are often produced by simultaneously burning several types of fuel, some of them coming from other parts of the plant. A novel method is proposed in this study to improve process and product quality control as well as to optimize the combustion conditions based on digital flame color images. Multivariate Image Analysis and Regression is used to extract the flame color characteristics from images to predict the solids discharge temperature of an industrial rotary kiln related to product quality. It is shown that this method yield extremely good 20 minutes, 40 minutes as well as 80 minutes ahead forecasts of the discharge temperature of mineral ore. This should lead to a substantial reduction in product quality variability as well as in fuel consumption.

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Grönborg, Felix, and Otto Ortega. "Evaluation of Methods for Image Analysis with the Purpose of Imitating Subjective Quality Assessment." Thesis, Linköpings universitet, Medie- och Informationsteknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-174849.

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Detta examensarbete gjordes i samarbete med Husfoto AB där syftet var att undersöka potentialen i att använda maskininlärniningsalgoritmer för att utföra automatiska klassificeringar mellan godkända och icke-godkända bilder enligt en subjektivt framställd kvalitetsstandard. Både metoder som använder maskininlärning, samt mer traditionella bildanalysmetoder användes, testades och jämfördes inom kvalitetsmåtten precision, känslighet, träffsäkerhet och balanserad träffsäkerhet. Maskininlärningsmetoder som användes var en linjär och en icke-linjär variant av Support Vector Machine (SVM), samt XGboost. De manuella metoderna var en variant av White Patch, samt två egna metoder framtagna för projektet. Bildfelen som undersöktes var vitbalans och färgen på himmel för exteriörbilder, och datan samlades in och annoterades parallellt med arbetet. Trots att mängden data var begränsad så erhölls bättre resultat än förväntat, vilket ger en indikation på att maskininlärning kan användas för klassificeringar med subjektiva bedömningar som referensmått med gott resultat. Resultaten visar att kvalitetsmåtten för flera metoder presterar relativt likvärdigt i många fall med vissa avvikande skillnader. Genom att använda den subjektiva bedömningen av Husfoto för att skapa ett objektivt mått med metoderna som används så visar resultatet att metoderna för vissa fel kommer upp i över 80% träffsäkerhet.

Examensarbetet är utfört vid Institutionen för teknik och naturvetenskap (ITN) vid Tekniska högskolan, Linköpings universitet

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Szatvanyi, Gérard. "Improving quality and combustion control in pyrometallurgical processes using multivariate image analysis of flames." Master's thesis, Université Laval, 2006. http://hdl.handle.net/20.500.11794/18697.

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La combustion est utilisé dans l’industrie chimique et du traitement des minéraux dans le but de produire de la vapeur dans les chaudières, de sécher les concentrés dans les fours rotatifs, et d’appliquer des traitements thermiques dans les fours pyrométallurgiques. Le contrôle serré de la combustion dans ces fours est très important parce que les conditions de combustion affectent directement la qualité du produit fini. Arriver à un contrôle serré de la combustion n’est pas facile à cause du fait que les flammes qu’on retrouve dans ces industries sont obtenues avec des combustibles non pré-mélangés et aussi parce que la combustion est affectée par des perturbations non-mesurées comme l’utilisation fréquente de plusieurs combustibles, certains étant des sous-produits de l’usine, et de débit et composition variables. Une nouvelle méthode est proposée dans cette étude afin d’améliorer le contrôle de la qualité des produits de ces fours tout en réduisant la consommation de carburants. Cette méthode s’appuie sur l’extraction d’information provenant d’images de flammes. La méthode d’analyse et de régression sur les images multivariées est utilisée pour l’extraction des caractéristiques de couleur de la flamme qui sont ensuite utilisées pour prédire la température de décharge des solides d’un four rotatif (qualité). Cette étude démontre que cette méthode est capable de très bien prédire la température de décharge du solide 20, 40, et jusqu’à 80 minutes dans le futur. Ceci devrait permettre une réduction substantielle de la variabilité de la qualité du produit et de la consommation de combustible.
Combustion is used throughout the mineral processing industry to produce steam in boilers, to dry concentrates in rotary dryers, and to apply heat treatments in pyrometallurgical furnaces. Tight combustion control is very important in the latter type of furnace since the combustion conditions directly affect final ore quality. However, achieving tight combustion control is not straightforward since most of the flames encountered in industry are turbulent non-premixed flames, they are affected by several unmeasured disturbances, various flow rates, continuous variation in the mix between fuels since they are often produced by simultaneously burning several types of fuel, some of them coming from other parts of the plant. A novel method is proposed in this study to improve process and product quality control as well as to optimize the combustion conditions based on digital flame color images. Multivariate Image Analysis and Regression is used to extract the flame color characteristics from images to predict the solids discharge temperature of an industrial rotary kiln related to product quality. It is shown that this method yield extremely good 20 minutes, 40 minutes as well as 80 minutes ahead forecasts of the discharge temperature of mineral ore. This should lead to a substantial reduction in product quality variability as well as in fuel consumption.

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Razifar, Pasha. "Novel Approaches for Application of Principal Component Analysis on Dynamic PET Images for Improvement of Image Quality and Clinical Diagnosis." Doctoral thesis, Uppsala : Acta Universitatis Upsaliensis : Univ.-bibl. [distributör], 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-6053.

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Reisenhofer, Rafael [Verfasser], Emily [Akademischer Betreuer] King, Emily [Gutachter] King, and Armin [Gutachter] Iske. "Image Analysis via Applied Harmonic Analysis : Perceptual Image Quality Assessment, Visual Servoing, and Feature Detection / Rafael Reisenhofer ; Gutachter: Emily King, Armin Iske ; Betreuer: Emily King." Bremen : Staats- und Universitätsbibliothek Bremen, 2018. http://d-nb.info/1169299105/34.

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Bharati, Manish H. "Multivariate image analysis and regression for industrial process monitoring and product quality control / by Manish H. Bharati." *McMaster only, 2002.

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Castan, Beulah. "An analysis of the nature and quality of friendship relationships in a sample of Australian adolescents /." St. Lucia, Qld, 2004. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe17840.pdf.

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Hamid, Muhammed Hamed. "Hyperspectral Image Generation, Processing and Analysis." Doctoral thesis, Uppsala : Acta Universitatis Upsaliensis : Univ.-bibl. [distributör], 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-5905.

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Rius-Vilarrasa, Elisenda. "Evaluation of a Video Image Analysis system for the prediction of carcass and meat quality in genetic improvement programmes." Thesis, University of Edinburgh, 2009. http://hdl.handle.net/1842/4394.

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Video Image Analysis (VIA) is a digital camera based technology that extracts relevant information from images using purpose tailored image processing software. In the present work, the VSS2000 image analysis system from E+V Technology GmbH has been used in a large lamb abattoir to determine the value of carcasses in an objective, consistent and automated way. In this thesis results are reported of several experiments conducted within the framework of two UK-funded projects. The aims of the research were (i) the calibration and validation of the VIAtechnique for the evaluation of lamb carcasses under UK abattoir conditions, with the view to scientifically examine the accuracy and precision of information from the VIA systems as the basis for a value-based marketing system, (ii) to investigate the use of VIA measurements (weights of primal meat yields and carcass dimensional measurements) in sheep breeding programmes to improve carcass and meat quality and (iii) to evaluate the potential of this technology to reward increased carcass quality associated with the use of breeding strategies based on the inclusion of a quantitative trait locus (QTL) for improved muscularity. Accuracy, precision and consistency of The Meat and Livestock Commission (MLC) carcass classification scheme, currently used in UK abattoirs to evaluate carcass quality, was compared against the VIA system in the prediction of various primal joint weights. The results highlighted the advantage of the VIA system being on average 2% more accurate (measured as coefficient of determination: R2) and 12% more precise (measured as root meat squared error: RMSE) in predicting weight of primal meat yields (leg, chump, loin, breast and shoulder) of the lamb carcasses than the MLC carcass classification scheme. The genetic analysis of VIA-based predicted primal joint weights showed substantial additive genetic variance, suggesting that their use in sheep breeding programmes could improve carcass quality either by an improvement of conformation or by an increased weight of the most valuable primal cuts, without an increase in fatness. Favourable associations between VIA primal weights and performance traits indicate that selection based on VIA traits is possible without a negative effect on average daily gain, live weight and cold carcass weight. Although computer tomography (CT) and dissection found in related studies significant effects of a Texel muscling-QTL (TM-QTL) for increased muscularity in the loin region, in the present study they could not be identified by both, the current industry carcass evaluation system for conformation and fatness and the VIA system. A calibration of the VIA system against CT measurements resulted in improved VIA prediction equations for primal meat yields and also showed a moderate potential to estimate loin muscle traits measured by CT and to detect partially the effect of the TM-QTL on these traits. The results of the research demonstrated that VIA is a consistent method to measure carcass composition and that it improved the prediction (accuracy and precision) of primal meat yields compared to the present MLC scoring system. The estimated genetic parameters for VIA primal meat yields suggested that selection for increased lean meat yield from lamb carcass measured using VIA can contribute to genetic improvement of carcass quality without increasing carcass fatness. The results suggest that VIA technology installed in abattoirs could provide the means for the development of a value-based marketing system by paying for weights of the most valuable primal cuts measured using VIA.

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Jackson, Brian Patrick. "Automated Complexity-Sensitive Image Fusion." Wright State University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=wright1421079359.

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Namroud, Iman. "An Analysis of Aliasing and Image Restoration Performance for Digital Imaging Systems." University of Dayton / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1399046084.

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Bhattacharya, Abhishek. "Affect-based Modeling and its Application in Multimedia Analysis Problems." FIU Digital Commons, 2012. http://digitalcommons.fiu.edu/etd/713.

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The multimedia domain is undergoing a rapid development phase with transition in audio, image, and video systems such as VoIP, Telepresence, Live/On-Demand Internet Streaming, SecondLife, and many more. In such a situation, the analysis of multimedia systems, like retrieval, quality evaluation, enhancement, summarization, and re-targeting applications, from various context is becoming critical. Current methods for solving the above-mentioned analysis problems do not consider the existence of humans and their affective characteristics in the design methodology. This contradicts the fact that most of the digital media is consumed only by the human end-users. We believe incorporating human feedback during the design and adaptation stage is key to the building process of multimedia systems. In this regard, we observe that affect is an important indicator of human perception and experience. This can be exploited in various ways for designing effective systems that will adapt more closely to the human response. We advocate an affect-based modeling approach for solving multimedia analysis problems by exploring new directions. In this dissertation, we select two representative multimedia analysis problems, e.g. Quality-of-Experience (QoE) evaluation and Image Enhancement in order to derive solutions based on affect-based modeling techniques. We formulate specific hypothesis for them by correlating system parameters to user's affective response, and investigate their roles under varying conditions for each respective scenario. We conducted extensive user studies based on human-to-human interaction through an audio conferencing system.We also conducted user studies based on affective enhancement of images and evaluated the effectiveness of our proposed approaches. Moving forward, multimedia systems will become more media-rich, interactive, and sophisticated and therefore effective solutions for quality, retrieval, and enhancement will be more challenging. Our work thus represents an important step towards the application of affect-based modeling techniques for the future generation of multimedia systems.

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Kwok, Sze Man Simon. "Attribute-driven segmentation and analysis of mammograms." University of Western Australia. Centre for Intelligent Information Processing Systems, 2005. http://theses.library.uwa.edu.au/adt-WU2005.0010.

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[Truncated abstract] In this thesis, we introduce a mammogram analysis system developed for the automatic segmentation and analysis of mammograms. This original system has been designed to aid radiologists to detect breast cancer on mammograms. The system embodies attribute-driven segmentation in which the attributes of an image are extracted progressively in a step-by-step, hierarchical fashion. Global, low-level attributes obtained in the early stages are used to derive local, high-level attributes in later stages, leading to increasing refinement and accuracy in image segmentation and analysis. The proposed system can be characterized as: • a bootstrap engine driven by the attributes of the images; • a solid framework supporting the process of hierarchical segmentation; • a universal platform for the development and integration of segmentation and analysis techniques; and • an extensible database in which knowledge about the image is accumulated. Central to this system are three major components: 1. a series of applications for attribute acquisition; 2. a standard format for attribute normalization; and 3. a database for attribute storage and data exchange between applications. The first step of the automatic process is to segment the mammogram hierarchically into several distinctive regions that represent the anatomy of the breast. The adequacy and quality of the mammogram are then assessed using the anatomical features obtained from segmentation. Further image analysis, such as breast density classification and lesion detection, may then be carried out inside the breast region. Several domain-specific algorithms have therefore been developed for the attribute acquisition component in the system. These include: 1. automatic pectoral muscle segmentation; 2. adequacy assessment of positioning and exposure; and 3. contrast enhancement of mass lesions. An adaptive algorithm is described for automatic segmentation of the pectoral muscle on mammograms of mediolateral oblique (MLO) views

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Tomperi, J. (Jani). "Predicting the treated wastewater quality utilizing optical monitoring of the activated sludge process." Doctoral thesis, Oulun yliopisto, 2018. http://urn.fi/urn:isbn:9789526221007.

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Abstract Wastewater treatment is facing challenges due to the stricter legislation and increasing variety in the quantity and quality of the influent. In addition, for economic reasons the use of resources should be efficient. Therefore new automated monitoring tools and methods along with intelligent use of the gathered data are required to increase knowledge on the treatment process and to receive predictive information on the quality of the effluent that can be used to assist in optimizing the process operation. Predicting the effluent quality is difficult, as the complex treatment process includes several simultaneous nonlinear mechanisms and the relevant continuous information on the floc morphology is commonly missing, even though the flocculation process holds the key role in efficient wastewater treatment. Automated optical monitoring is able to reveal new valuable information on wastewater continuously, fast, objectively, and with minimal labor contribution. The main aim of this research was to develop predictive models for the quality parameters of treated wastewater at two full-scale wastewater treatment processes utilizing optical monitoring results. The actual predictive information was enabled using the measurements from the beginning of the process in model development alone. The optimal subsets of the model variables were sought by variable selection methods. The research also shows how utilization of the process measurements and the optical monitoring variables separately and together affect the modeling accuracy. The quality of the effluent in municipal and industrial wastewater treatment processes can be predicted in varying operating conditions by utilizing optical monitoring and process measurements. The prediction accuracy is sufficient to reveal the level of and changes in effluent quality. Thus, process operation can be optimized, more efficiently purified wastewater can be achieved, and environmental damage, health-related risks, and economic losses can be minimized
Tiivistelmä Jätevedenkäsittely kohtaa tulevaisuudessa haasteita tiukentuvan lainsäädännön sekä lisääntyvän jätevesimäärän ja laatuvaihteluiden vuoksi. Lisäksi taloudellisista syistä resurssien käytön pitäisi olla mahdollisimman tehokasta. Tämän vuoksi tarvitaan uusia automaattisia monitorointivälineitä ja -menetelmiä sekä kerätyn datan älykästä käyttöä lisäämään tietoa käsittelyprosessista ja ennustamaan käsitellyn jäteveden laatua prosessin ohjauksen optimoimiseksi. Käsitellyn jäteveden laadun ennustaminen on vaikeaa, sillä monimutkainen käsittelyprosessi sisältää useita yhtäaikaisia epälineaarisia mekanismeja ja olennainen jatkuva-aikainen tieto flokkien morfologiasta puuttuu, vaikka flokkausprosessi on keskeisessä asemassa jätevedenpuhdistuksen tehokkaan toiminnan kannalta. Automaattisen optisen monitoroinnin avulla saadaan uutta hyödyllistä tietoa jätevedestä jatkuva-aikaisesti, nopeasti, objektiivisesti ja vähäisellä työpanoksella. Tämän tutkimustyön päätavoite oli kehittää ennustemalleja kahden täysikokoisen jätevesilaitoksen käsitellyn jäteveden laatuparametreille hyödyntäen automaattista optista monitorointia. Malleissa käytettiin vain prosessin alkuosan mittauksia, jotta malleilla olisi todellinen kyky ennakoida käsitellyn jäteveden laatu. Mallien optimaaliset tulomuuttujat etsittiin muuttujavalinta-algoritmeilla. Tutkimus näyttää myös, miten prosessimittausten ja optisen monitoroinnin muuttujien hyödyntäminen yhdessä ja erikseen vaikuttaa mallien tarkkuuteen. Optisen monitoroinnin hyödyntäminen yhdessä prosessimittausten kanssa mahdollistaa käsitellyn jäteveden laadun ennustamisen vaihtelevissa olosuhteissa sekä teollisessa että kunnallisessa jätevedenkäsittelylaitoksessa. Mallinnustarkkuus on riittävä laatuparametrien tason ja muutosten esittämiseen ja käytettäväksi apuna prosessin ohjauksessa. Tällöin jäteveden puhdistusprosessi tehostuu ja ympäristövahingot, terveysriskit ja taloudelliset menetykset voidaan minimoida

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Welsh, Thomas V. "Quantitative Analysis of 3D Images Formed Using Range Compressed Holography." University of Dayton / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1512317926568769.

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Freddie, Åström, Felsberg Michael, and Lenz Reiner. "Color Persistent Anisotropic Diffusion of Images." Linköpings universitet, Datorseende, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-68999.

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Techniques from the theory of partial differential equations are often used to design filter methods that are locally adapted to the image structure. These techniques are usually used in the investigation of gray-value images. The extension to color images is non-trivial, where the choice of an appropriate color space is crucial. The RGB color space is often used although it is known that the space of human color perception is best described in terms of non-euclidean geometry, which is fundamentally different from the structure of the RGB space. Instead of the standard RGB space, we use a simple color transformation based on the theory of finite groups. It is shown that this transformation reduces the color artifacts originating from the diffusion processes on RGB images. The developed algorithm is evaluated on a set of real-world images, and it is shown that our approach exhibits fewer color artifacts compared to state-of-the-art techniques. Also, our approach preserves details in the image for a larger number of iterations.
Original Publication:Åström Freddie, Felsberg Michael and Lenz Reiner, Color Persistent Anisotropic Diffusion of Images, 2011, Image Analysis, SCIA conference, 23-27 May 2011, Ystad Sweden, 262-272.http://dx.doi.org/10.1007/978-3-642-21227-7_25Copyright: Springer

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Burson, Patrick A. R. "An analysis of the impact of data errors on backorder rates in the F404 engine system." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2003. http://library.nps.navy.mil/uhtbin/hyperion-image/03Mar%5FBurson.pdf.

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Thesis (M.S. in Operations Research)--Naval Postgraduate School, March 2003.
Thesis advisor(s): Robert A. Koyak, Samuel E. Buttrey. Includes bibliographical references (p. 63-64). Also available online.

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Kong, Lingchao. "Modeling of Video Quality for Automatic Video Analysis and Its Applications in Wireless Camera Networks." University of Cincinnati / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1563295836742645.

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Sarwary, Zahida. "The analysis of antecedents of bank-SME loyalty : professionalism, relationship quality, corporate image & switching barrier as a moderator." Thesis, Högskolan Kristianstad, Sektionen för hälsa och samhälle, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:hkr:diva-10455.

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The aim of this study is to combine the various concepts, in the field of SME in service based industry, being developed independently by researchers. The goal is to provide a comprehensive overview on the rules and interactions of the involved factors. An investigation of the influence of corporate image and relationship quality on customer loyalty, among SMEs in the banking sector, is carried out. The moderating role of switching barrier is investigated. Furthermore the background variables, affecting relationship quality and corporate image, are investigated. This provides a deeper understanding on how customer loyalty is achieved. Such a deeper understanding on achieving customer loyalty can be regarded as a competitive tool especially in the banking sector with many financial providers and the products being alike. This article is based on 335 valid questionnaires returned from SME customers established in Sweden. The negative impact of Switching barrier on customer loyalty indicates that switching barrier should be avoided thus it decreases customer loyalty and does not have a moderating role. Instead focus should be put on delivering high professionalism which will contribute to higher level of relationship quality and positive perception of corporate image. This, in turn, will eliminate the moderating role of switching barrier and lead to customer loyalty.

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Wilson, Jeff D. "Measuring wheat starch size distribution using image analysis and laser diffraction technology : quality of spelt wheat and its starch /." Search for this dissertation online, 2003. http://wwwlib.umi.com/cr/ksu/main.

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Alonso-Caneiro, David. "Non-invasive assessment of tear film surface quality." Thesis, Queensland University of Technology, 2010. https://eprints.qut.edu.au/41737/1/David_Alonso-Caneiro_Thesis.pdf.

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The tear film plays an important role preserving the health of the ocular surface and maintaining the optimal refractive power of the cornea. Moreover dry eye syndrome is one of the most commonly reported eye health problems. This syndrome is caused by abnormalities in the properties of the tear film. Current clinical tools to assess the tear film properties have shown certain limitations. The traditional invasive methods for the assessment of tear film quality, which are used by most clinicians, have been criticized for the lack of reliability and/or repeatability. A range of non-invasive methods of tear assessment have been investigated, but also present limitations. Hence no “gold standard” test is currently available to assess the tear film integrity. Therefore, improving techniques for the assessment of the tear film quality is of clinical significance and the main motivation for the work described in this thesis. In this study the tear film surface quality (TFSQ) changes were investigated by means of high-speed videokeratoscopy (HSV). In this technique, a set of concentric rings formed in an illuminated cone or a bowl is projected on the anterior cornea and their reflection from the ocular surface imaged on a charge-coupled device (CCD). The reflection of the light is produced in the outer most layer of the cornea, the tear film. Hence, when the tear film is smooth the reflected image presents a well structure pattern. In contrast, when the tear film surface presents irregularities, the pattern also becomes irregular due to the light scatter and deviation of the reflected light. The videokeratoscope provides an estimate of the corneal topography associated with each Placido disk image. Topographical estimates, which have been used in the past to quantify tear film changes, may not always be suitable for the evaluation of all the dynamic phases of the tear film. However the Placido disk image itself, which contains the reflected pattern, may be more appropriate to assess the tear film dynamics. A set of novel routines have been purposely developed to quantify the changes of the reflected pattern and to extract a time series estimate of the TFSQ from the video recording. The routine extracts from each frame of the video recording a maximized area of analysis. In this area a metric of the TFSQ is calculated. Initially two metrics based on the Gabor filter and Gaussian gradient-based techniques, were used to quantify the consistency of the pattern’s local orientation as a metric of TFSQ. These metrics have helped to demonstrate the applicability of HSV to assess the tear film, and the influence of contact lens wear on TFSQ. The results suggest that the dynamic-area analysis method of HSV was able to distinguish and quantify the subtle, but systematic degradation of tear film surface quality in the inter-blink interval in contact lens wear. It was also able to clearly show a difference between bare eye and contact lens wearing conditions. Thus, the HSV method appears to be a useful technique for quantitatively investigating the effects of contact lens wear on the TFSQ. Subsequently a larger clinical study was conducted to perform a comparison between HSV and two other non-invasive techniques, lateral shearing interferometry (LSI) and dynamic wavefront sensing (DWS). Of these non-invasive techniques, the HSV appeared to be the most precise method for measuring TFSQ, by virtue of its lower coefficient of variation. While the LSI appears to be the most sensitive method for analyzing the tear build-up time (TBUT). The capability of each of the non-invasive methods to discriminate dry eye from normal subjects was also investigated. The receiver operating characteristic (ROC) curves were calculated to assess the ability of each method to predict dry eye syndrome. The LSI technique gave the best results under both natural blinking conditions and in suppressed blinking conditions, which was closely followed by HSV. The DWS did not perform as well as LSI or HSV. The main limitation of the HSV technique, which was identified during the former clinical study, was the lack of the sensitivity to quantify the build-up/formation phase of the tear film cycle. For that reason an extra metric based on image transformation and block processing was proposed. In this metric, the area of analysis was transformed from Cartesian to Polar coordinates, converting the concentric circles pattern into a quasi-straight lines image in which a block statistics value was extracted. This metric has shown better sensitivity under low pattern disturbance as well as has improved the performance of the ROC curves. Additionally a theoretical study, based on ray-tracing techniques and topographical models of the tear film, was proposed to fully comprehend the HSV measurement and the instrument’s potential limitations. Of special interested was the assessment of the instrument’s sensitivity under subtle topographic changes. The theoretical simulations have helped to provide some understanding on the tear film dynamics, for instance the model extracted for the build-up phase has helped to provide some insight into the dynamics during this initial phase. Finally some aspects of the mathematical modeling of TFSQ time series have been reported in this thesis. Over the years, different functions have been used to model the time series as well as to extract the key clinical parameters (i.e., timing). Unfortunately those techniques to model the tear film time series do not simultaneously consider the underlying physiological mechanism and the parameter extraction methods. A set of guidelines are proposed to meet both criteria. Special attention was given to a commonly used fit, the polynomial function, and considerations to select the appropriate model order to ensure the true derivative of the signal is accurately represented. The work described in this thesis has shown the potential of using high-speed videokeratoscopy to assess tear film surface quality. A set of novel image and signal processing techniques have been proposed to quantify different aspects of the tear film assessment, analysis and modeling. The dynamic-area HSV has shown good performance in a broad range of conditions (i.e., contact lens, normal and dry eye subjects). As a result, this technique could be a useful clinical tool to assess tear film surface quality in the future.

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Fentner, David A. "A Comparative Image Quality Analysis between Multi-Slice Computed Tomography and Cone Beam Computed Tomography for Radiation Treatment Planning Purposes." University of Toledo Health Science Campus / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=mco1372413982.

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Sanja, Maksimović-Moićević. "Predlog nove mere za ocenu kvaliteta slike prilikom interpolacije i njena implementacija u računarskoj obradi signal slike." Phd thesis, Univerzitet u Novom Sadu, Fakultet tehničkih nauka u Novom Sadu, 2015. http://www.cris.uns.ac.rs/record.jsf?recordId=95429&source=NDLTD&language=en.

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Osnovni doprinos ove doktorske disertacije je razvoj algortima i sistema za objektivnu procenu vizuelnog kvaliteta slike uzimajući u obzir najvažnija moguća oštećenja kao što su zamućenje ivica (oštrina) i poremećaj prirodnog izgleda teksture objekata na slici sa jedne strane i uticaj sadržaja slike (procenta ivica u slici) na procenu kvaliteta sa druge strane. Dakle, hipoteza izneta u ovom radu je da je potreban multiparametarski pristup da bi se dobila objektivna procena kvaliteta slike koja je što približnija subjektivnoj proceni.

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Jha, Piyush Kumar. "Étude de l'effet des radiations électromagnétiques pendant la congélation sur la structure de glace et la qualité des tissus des fruits et légumes." Thesis, Nantes, Ecole nationale vétérinaire, 2018. http://www.theses.fr/2018ONIR114F/document.

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L'objectif de cette étude était d'étudierl'effet d’un procédé innovant de congélation assistéepar micro-ondes (CAPMO) à faible énergie sur letemps de congélation, la qualité (microstructure,texture, perte de masse, et couleur) de la pomme etde la pomme de terre. La CAPMO des pommes etdes pommes de terre a été effectuée à unepuissance micro-onde constante (167 W/kg) et unepuissance micro-ondes appliquée par créneaux (500et 667 W/kg avec 10 s de micro-ondes sur unepériode de 30 s). Les températures ont été mesuréespendant le processus de congélation et lamicrostructure a été examinée en utilisant latomographie à rayons X et les techniques de cryo-SEM. D'autres paramètres de qualité tels que latexture, la perte de masse et la couleur ont étéévalués après décongélation de l'échantillon àtempérature ambiante.Les résultats ont montré que le processus deCAPMO n’affectait pas le temps de congélation.L'application de micro-ondes pendant le processusde congélation a produit une microstructure dequalité supérieure à celle de l'échantillon témoin ; LaCAPMO a réduit de manière significative la taillemoyenne des cristaux de glace dans les échantillonsde pommes et de pommes de terre. De plus, laCAPMO de la pomme et de la pomme de terre aentrainé une perte de masse moindre. La réductionde la fermeté / dureté et du module de Young aégalement été diminué par rapport à l'échantillontémoin. La couleur n'a pas été significativementinfluencée par la CAPMO. Parmi toutes lesconditions de congélation testées, la condition microondepulsée de 667 W/kg a donné le meilleur résultaten termes de réduction de la taille des cristaux deglace et de qualité. Ces résultats prometteursindiquent donc que l’application de micro-ondespendant la congélation permettrait d’obtenir desproduits congelés de meilleure qualité
The objective of this study was toinvestigate the effect of innovative low energymicrowave assisted freezing (MAF) on freezing time,quality attributes (microstructure, texture, drip lossand colour) of apple and potato. MAF of apples andpotatoes was performed by applying constantmicrowave power (167 W/kg) and pulsed microwavepower (500 and 667 W/kg with 10 s pulse width and20 s pulse interval) during the freezing process. Thetemperature profile was monitored during thefreezing process, and the microstructure wasexamined using X-ray tomography and cryo-SEMtechniques. Other quality parameters such astexture, drip loss and colour were evaluated afterthawing frozen sample at room temperature.Results showed that the freezing time was notaffected by the MAF process. The application ofmicrowaves during freezing process producedsuperior microstructure than the control sample; MAFsignificantly reduced the mean ice crystal size inapple and potato sample. Moreover, MAF of appleand potato resulted in a lower drip loss, meanwhile,it also led to a lower reduction in firmness/hardnessand Young's modulus value if compared to controlsample. The colour was not significantly influencedby MAF. Among all the tested freezing conditions, the667 W/kg pulsed microwave condition yielded thebest result in terms of reduction in ice crystals sizeand retention of other quality parameters. Lastly,these results indicate that the application ofmicrowave during freezing would result in higherquality frozen products

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Zimmer, Veronika Anne. "Image similarity for registration and manifold learning: application to brain analysis." Doctoral thesis, Universitat Pompeu Fabra, 2017. http://hdl.handle.net/10803/402101.

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The aim of this thesis is to explore and develop measures for image comparison in two main areas of medical image analysis: image registration and manifold learning for population analysis. In particular, the main contributions of the thesis are the following: (i) the development of a multimodal similarity measure using the commutativity of the image graph Laplacians as a criterion of image structure preservation, (ii) the application of such similarity measure to fetal ultrasound-magnetic resonance registration, (iii) the development of a framework for optimal kernel-based manifold embeddings for medical image data, and (iv) the development of a method to learn and combine heterogeneous pairwise image similarities induced by application-specific distance functions for manifold learning. The methods developed in this thesis were evaluated both on synthetic and clinical data, here in particular for brain analysis and classification, both during early childhood and in aging adults.
El objetivo de esta tesis es explorar y desarrollar métodos para la comparación de imágenes en dos de las principales áreas del análisis de imagen: el registro de imágenes y manifold learning por el análisis de población. En particular, las contribuciones pueden resumirse principalmente en tres: (i) se propone una medida de similitud multimodal para el registro de imágenes usando la commutatividad del grafo Laplaciano como criterio para preservar la estructura de la imagen, (ii) la aplicación de esta medida de similitud para el registro de resonancias magnética-ultrasonido de feto, (iii) se presenta un método para un optimo kernel-based manifold learning de imágenes médicas, y (iv) se propone aprender y combinar diferentes aproximaciones de vecindarios de las imágenes por manifold learning. Los métodos desarrollados en este tesis fueron evaluados en datos sintéticos y clínicos, en particular por el análisis de imágenes cerebrales de fetos, neonatos y adultos.

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Dissertations / Theses on the topic 'Image quality analysis'

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