Dissertations / Theses on the topic 'Image analysis'
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Moëll, Mattias. "Digital image analysis for wood fiber images /." Uppsala : Swedish Univ. of Agricultural Sciences (Sveriges lantbruksuniv.), 2001. http://epsilon.slu.se/avh/2001/91-576-6309-2.pdf.
Full textFeng, Sitao. "Image Analysis on Wood Fiber Cross-Section Images." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-156428.
Full textGavin, John. "Subpixel image analysis." Thesis, University of Bath, 1995. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.307131.
Full textZhao, Xianghong. "Automated image analysis for petrographic image assessments." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/MQ62444.pdf.
Full textHoxha, Genc. "IMAGE CAPTIONING FOR REMOTE SENSING IMAGE ANALYSIS." Doctoral thesis, Università degli studi di Trento, 2022. http://hdl.handle.net/11572/351752.
Full textAsplund, Raquel. "Evaluation of a cloud-based image analysis and image display system for medical images." Thesis, Umeå universitet, Institutionen för tillämpad fysik och elektronik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-105984.
Full textMunechika, Curtis K. "Merging panchromatic and multispectral images for enhanced image analysis /." Online version of thesis, 1990. http://hdl.handle.net/1850/11366.
Full textJenkinson, Mark. "Saliency in image analysis." Thesis, University of Oxford, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.302069.
Full textMoore, George G. "Guided aerial image analysis." Thesis, University of Ulster, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.326332.
Full textHansson, Jonas. "Image analysis, an approach to measure grass roots from images." Thesis, University of Skövde, Department of Computer Science, 2001. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-592.
Full textIn this project a method to analyse images is presented. The images document the development of grassroots in a tilled field in order to study the movement of nitrate in the field. The final aim of the image analysis is to estimate the volume of dead and living roots in the soil. Since the roots and the soil have a broad and overlapping range of colours the fundamental problem is to find the roots in the images. Earlier methods for analysis of root images have used methods based on thresholds to extract the roots. To use a threshold the pixels of the object must have a unique range of colours separating them from the colour of the background, this is not the case for the images in this project. Instead the method uses a neural network to classify the individual pixels. In this paper a complete method to analyse images is presented and although the results are far from perfect, the method gives interesting results
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.
Full textKim, Tae-Kyun. "Discriminant analysis of patterns in images, image ensembles, and videos." Thesis, University of Cambridge, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.612084.
Full textKarelid, Mikael. "Image Enhancement over a Sequence of Images." Thesis, Linköping University, Department of Electrical Engineering, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-12523.
Full textThis Master Thesis has been conducted at the National Laboratory of Forensic Science (SKL) in Linköping. When images that are to be analyzed at SKL, presenting an interesting object, are of bad quality there may be a need to enhance them. If several images with the object are available, the total amount of information can be used in order to estimate one single enhanced image. A program to do this has been developed by studying methods for image registration and high resolution image estimation. Tests of important parts of the procedure have been conducted. The final results are satisfying and the key to a good high resolution image seems to be the precision of the image registration. Improvements of this part may lead to even better results. More suggestions for further improvementshave been proposed.
Detta examensarbete har utförts på uppdrag av Statens Kriminaltekniska Laboratorium (SKL) i Linköping. Då bilder av ett intressant objekt som ska analyseras på SKL ibland är av dålig kvalitet finns det behov av att förbättra dessa. Om ett flertal bilder på objektet finns tillgängliga kan den totala informationen fråndessa användas för att skatta en enda förbättrad bild. Ett program för att göra detta har utvecklats genom studier av metoder för bildregistrering och skapande av högupplöst bild. Tester av viktiga delar i proceduren har genomförts. De slutgiltiga resultaten är goda och nyckeln till en bra högupplöst bild verkar ligga i precisionen för bildregistreringen. Genom att förbättra denna del kan troligtvis ännu bättre resultat fås. Även andra förslag till förbättringar har lagts fram.
Aksu, tIbrahim. "Performance analysis of image motion analysis algorithms." Thesis, Monterey, California. Naval Postgraduate School, 1991. http://hdl.handle.net/10945/28443.
Full textToh, Vivian. "Statistical image analysis : length estimation and colour image segmentation." Thesis, University of Strathclyde, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.415373.
Full textXu, Dongxiang. "Image segmentation and its application on MR image analysis /." Thesis, Connect to this title online; UW restricted, 2001. http://hdl.handle.net/1773/6063.
Full textNahar, Vikas. "Content based image retrieval for bio-medical images." Diss., Rolla, Mo. : Missouri University of Science and Technology, 2010. http://scholarsmine.mst.edu/thesis/pdf/Nahar_09007dcc80721e0b.pdf.
Full textVita. The entire thesis text is included in file. Title from title screen of thesis/dissertation PDF file (viewed Dec. 23, 2009). Includes bibliographical references (p. 82-83).
Cheriyadat, Anil Meerasa. "Limitations of principal component analysis for dimensionality-reduction for classification of hyperspectral data." Master's thesis, Mississippi State : Mississippi State University, 2003. http://library.msstate.edu/etd/show.asp?etd=etd-11072003-133109.
Full textHagen, Reidar Strand. "a Multivariate Image Analysis Toolbox." Thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2005. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9275.
Full textThe toolkit has been implemented as planned: The ground work for visualisation mappings and relationships between datasets have been finished. Wavelet transforms have been to compress datasets in order to reduce computational time. Principal Component Analysis and other transforms are working. Examples of use have been provided, and several ways of visualizing them have been provided. Multivariate Image Analysis is viable on regular Workstations.
Marpu, Prashanth Reddy. "Geographic object-based image analysis." Doctoral thesis, Technische Universitaet Bergakademie Freiberg Universitaetsbibliothek "Georgius Agricola", 2009. http://nbn-resolving.de/urn:nbn:de:bsz:105-5519610.
Full textDesjardins, Steven J. "Image analysis in Fourier space." Thesis, University of Ottawa (Canada), 2002. http://hdl.handle.net/10393/6207.
Full textBasnandan, Anneil. "Image analysis of carpet tufting." Thesis, Georgia Institute of Technology, 2003. http://hdl.handle.net/1853/18213.
Full textShapiro, Larry Saul. "Affine analysis of image sequences." Thesis, University of Oxford, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.358752.
Full textPetroudi, Styliani. "Texture in mammographic image analysis." Thesis, University of Oxford, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.422668.
Full textWu, De Quan. "Morphological filters in image analysis." Thesis, University of Oxford, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.260779.
Full textGadkari, 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.
Full textM.S.
Other
Arts and Sciences
Modeling and Simulation
Luan, Jian'an. "Image analysis and prenatal screening." Thesis, University of Plymouth, 1998. http://hdl.handle.net/10026.1/2452.
Full textTillett, R. D. "Image analysis for agricultural processes." Thesis, Cardiff University, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.361090.
Full textSabateÌ-Cequier, Anna. "Image analysis for retinal screening." Thesis, St George's, University of London, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.415150.
Full textKaraolani, Persephoni. "Finite elements for image analysis." Thesis, University of Reading, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.240203.
Full textAlfaer, Nada Mansour. "Dynamic modelling for image analysis." Thesis, University of Leeds, 2018. http://etheses.whiterose.ac.uk/21215/.
Full textZhao, Nilu. "Haze measurements through image analysis." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/92216.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (page 28).
In the recent years, Singapore has been affected by haze caused by slash-and-bum fires in Indonesia. Currently, haze concentration is measured by filtering air samples at various stations in Singapore. In this thesis, optical approaches to haze measurements are explored. Images of haze were taken in fifteen minute intervals in June, 2013. These images were analyzed to obtain image contrast, and power spectral density functions. The power spectral density functions were characterized by maximum power, full width at half maximum, second and third moments, and exponential fit. Out of these methods, contrast and exponential fit results showed trend to the Pollutant Standards Index (PSI) values provided by the National Environmental Agency (NEA). Further studies on mapping contrast to PSI values are recommended.
by Nilu Zhao.
S.B.
Yoo, Kyung Hyun. "Image analysis using mathematical morphology." Thesis, Kansas State University, 1989. http://hdl.handle.net/2097/15232.
Full textChaganti, Shikha. "Image Analysis of Glioblastoma Histopathology." University of Cincinnati / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1406820611.
Full textDickason, Gregory John. "Image analysis of Bacillus thuringiensis." Master's thesis, University of Cape Town, 1998. http://hdl.handle.net/11427/21432.
Full textThomson, Robert Clark. "Petrographic image analysis and understanding." Thesis, Aston University, 1991. http://publications.aston.ac.uk/14391/.
Full textFrancis, Nicholas David. "Parallel architectures for image analysis." Thesis, University of Warwick, 1991. http://wrap.warwick.ac.uk/108844/.
Full textNilsson, Felix. "Image analysis for smart manufacturing." Thesis, Högskolan i Halmstad, Akademin för informationsteknologi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-39856.
Full textIndustriell tillverkning har förändrats mycket under de senaste decennierna. Det har gått från en process som krävt mycket manuellt arbete till en process som är nästan helt uppkopplad och automatiserad. Nästa stora steg inom industriell tillverkning går under benämningen industri 4.0 eller smart tillverkning. Med industri 4.0 kommer en ökad integration mellan IT-system och fabriksgolvet. Denna förändring har visat sig vara särskilt svår att implementera i redan existerande fabriker som kan ha en förväntad livstid på flera årtionden. En av de viktigaste parametrarna att mäta inom industriell tillverkning är varje maskins operativa timmar. Denna information kan hjälpa företag att bättre utnyttja tillgängliga resurser och därigenom spara stora summor pengar. Målet är att utveckla en lösning som, med hjälp av bildanalys och de signalljus som maskinerna kommer utrustade med, kan mäta maskinernas operativa timmar. Med hjälp av metoder som vanligen används för trafikljusigenkänning i autonoma fordon har ett system med en träffsäkerhet på över 99% under de förutsättningar som presenteras i rapporten utvecklats. Om mer video med större variation blir tillgänglig är det mycket troligt att det går att utveckla ett system som har hög pålitlighet i de flesta produktionsmiljöer.
Wu, Qian. "Segmentation-based Retinal Image Analysis." Thesis, Blekinge Tekniska Högskola, Institutionen för datavetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-18524.
Full textMcGarry, Gregory John. "Model-based mammographic image analysis." Thesis, Queensland University of Technology, 2002.
Find full textMonnier, Tom. "Unsupervised image analysis by synthesis." Electronic Thesis or Diss., Marne-la-vallée, ENPC, 2023. http://www.theses.fr/2023ENPC0037.
Full textThe goal of this thesis is to develop machine learning approaches to analyze collections of images without annotations. Advances in this area hold particular promises for high-impact 3D-related applications (e.g., reconstructing a real-world scene with 3D actionable components for animation movies or video games) where annotating examples to teach the machines is difficult, as well as more micro applications related to specific needs (e.g., analyzing the character evolution from 12th century documents) where spending significant effort on annotating large-scale database is debatable. The central idea of this dissertation is to build machines that learn to analyze an image collection by synthesizing the images in the collection. Learning analysis models by synthesis is difficult because it requires the design of a learnable image generation system that explicitly exhibits the desired analysis output. To achieve our goal, we present three key contributions.The first contribution of this thesis is a new conceptual approach to category modeling. We propose to represent the category of an image, a 2D object or a 3D shape, with a prototype that is transformed using deep learning to model the different instances within the category. Specifically, we design meaningful parametric transformations (e.g., geometric deformations or colorimetric variations) and use neural networks to predict the transformation parameters necessary to instantiate the prototype for a given image. We demonstrate the effectiveness of this idea to cluster images and reconstruct 3D objects from single-view images. We obtain performances on par with the best state-of-the-art methods which leverage handcrafted features or annotations.The second contribution is a new way to discover elements in a collection of images. We propose to represent an image collection by a set of learnable elements composed together to synthesize the images and optimized by gradient descent. We first demonstrate the effectiveness of this idea by discovering 2D elements related to semantic objects represented by a large image collection. Our approach have performances similar to the best concurrent methods which synthesize images with neural networks, and ours comes with better interpretability. We also showcase the capability of this idea by discovering 3D elements related to simple primitive shapes given as input a collection of images depicting a scene from multiple viewpoints. Compared to prior works finding primitives in 3D point clouds, we showcase much better qualitative and quantitative performances.The third contribution is more technical and consist in a new formulation to compute differentiable mesh rendering. Specifically, we formulate the differentiable rendering of a 3D mesh as the alpha compositing of the mesh faces in an increasing depth order. Compared to prior works, this formulation is key to enable us to learn 3D meshes without requiring object region annotations. In addition, it allows us to seamlessly introduce the possibility to learn transparent meshes, which we design to model a scene as a composition of a variable number of meshes
Das, Mohammed. "Image analysis techniques for vertebra anomaly detection in X-ray images." Diss., Rolla, Mo. : University of Missouri--Rolla i.e. [Missouri University of Science and Technology], 2008. http://scholarsmine.mst.edu/thesis/MohammedDas_Thesis_09007dcc804c3cf6.pdf.
Full textDegree granted by Missouri University of Science and Technology, formerly known as University of Missouri--Rolla. Vita. The entire thesis text is included in file. Title from title screen of thesis/dissertation PDF file (viewed March 24, 2008) Includes bibliographical references (p. 87-88).
Louridas, Efstathios. "Image processing and analysis of videofluoroscopy images in cleft palate patients." Thesis, University of Kent, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.267392.
Full textHillmer, Dirk. "Computer-based analysis of Biological Images Neuronal Networks for Image Processing." Electronic Thesis or Diss., Bordeaux, 2024. https://theses.hal.science/tel-04650911.
Full textAI in medicine is a rapidly growing field, and its significance in dermatology is increasingly pronounced. Advancements in neural networks, accelerated by powerful GPUs, have catalyzed the development of AI systems for skin disorder analysis. This study presents a novel approach that harnesses computer graphics techniques to create AI networks tailored to skin disorders. The synergy of these techniques not only generates training data but also optimizes image manipulation for enhanced processing. Vitiligo, a common depigmenting skin disorder, serves as a poignant case study. The evolution of targeted therapies underscores the necessity for precise assessment of the affected surface area. However, traditional evaluation methods are time-intensive and prone to inter- and intra-rater variability. In response, this research endeavors to construct an artificial intelligence (AI) system capable of objectively quantifying facial vitiligo severity.The AI model's training and validation leveraged a dataset of one hundred facial vitiligo images. Subsequently, an independent dataset of sixty-nine facial vitiligo images was used for final evaluation. The scores assigned by three expert physicians were compared with both inter- and intra-rater performances, as well as the AI's assessments. Impressively, the AI model achieved a remarkable accuracy of 93%, demonstrating its efficacy in quantifying facial vitiligo severity. The outcomes highlighted substantial concordance between AI-generated scores and those provided by human raters.Expanding beyond facial vitiligo, this model's utility in analyzing full-body images and images from various angles emerged as a promising avenue for exploration. Integrating these images into a comprehensive representation could offer insights into vitiligo's progression over time, thereby enhancing clinical diagnosis and research outcomes. While the journey has been fruitful, certain aspects of the research encountered roadblocks due to insufficient image and data resources. An exploration into analysis of in vivo mouse models and analysing pigmentation of skin cells in a preclinical embryo models as well as retina image recognition was regrettably halted. Nevertheless, these challenges illuminate the dynamic nature of research and underscore the importance of adaptability in navigating unforeseen obstacles.In conclusion, this study showcases the potential of AI to revolutionize dermatological assessment. By providing an objective evaluation of facial vitiligo severity, the proposed AI model offers a valuable adjunct to human assessment in both clinical practice and research settings. The ongoing pursuit of integrating AI into the analysis of diverse image datasets holds promise for broader applications in dermatology and beyond
Ramakrishna, Yogendra Jayanth. "Image Analysis Methods For Additive Manufacturing Applications." Thesis, Högskolan Väst, Avdelningen för avverkande och additativa tillverkningsprocesser (AAT), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hv:diva-15891.
Full textArias, Chipana Fredy Elmer 1979. "Uma proposta para um modelo de exibição de imagens em displays de dispositivos móveis baseado um método de atenção visual." [s.n.], 2014. http://repositorio.unicamp.br/jspui/handle/REPOSIP/260047.
Full textDissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de Computação
Made available in DSpace on 2018-08-25T18:30:39Z (GMT). No. of bitstreams: 1 AriasChipana_FredyElmer_M.pdf: 3100154 bytes, checksum: f18211712dbcff0de28b7aa8569b96bb (MD5) Previous issue date: 2014
Resumo: A apresentação de imagens em telas de dispositivos móveis tem limitações que dependem da experiência do usuário. A adaptação de imagens é acondicionar o tamanho e à resolução para-se visualizar na tela do dispositivo. O uso de mecanismos de atenção visual permite reduzir esforços no processamento do estímulo visual do olho humano. Os modelos de atenção visual também ajudam a reduzir a complexidade computacional em aplicações de processamento de imagens. Propõe-se neste uma melhora ao um modelo de atenção visual para ser aplicado à adaptação de imagens em telas de dispositivos móveis
Abstract: The presentation of images on screens of mobile devices has limitations that depend on the user experience. The adaptation of images is pack the size and resolution to be visualized on the device screen. The use of a visual attention mechanism allows reducing efforts in processing the visual stimulus of the human eye. Models of visual attention also help to reduce the computational complexity of image processing applications. We propose an improvement to this model of visual attention to be applied to the adaptation of images on screens of mobile devices
Mestrado
Telecomunicações e Telemática
Mestre em Engenharia Elétrica
Mohammad, Suraya. "Textural measurements for retinal image analysis." Thesis, University of Manchester, 2015. https://www.research.manchester.ac.uk/portal/en/theses/textural-measurements-for-retinal-image-analysis(4efe6635-edec-4e8e-89a4-d119da3cf7cd).html.
Full textMoltisanti, Marco. "Image Representation using Consensus Vocabulary and Food Images Classification." Doctoral thesis, Università di Catania, 2016. http://hdl.handle.net/10761/3968.
Full textGuo, Y. (Yimo). "Image and video analysis by local descriptors and deformable image registration." Doctoral thesis, Oulun yliopisto, 2013. http://urn.fi/urn:isbn:9789526201412.
Full textTiivistelmä Kuvan deskriptiolla on tärkeä rooli staattisissa kuvissa esiintyvien luontaisten kokonaisuuksien ja näkymien kuvaamisessa. Viime vuosikymmeninä se on tullut perustavaa laatua olevaksi ongelmaksi monissa käytännön konenäön tehtävissä, kuten tekstuurien luokittelu, kasvojen tunnistaminen, materiaalien luokittelu ja lääketieteellisten kuvien analysointi. Staattisen kuva-analyysin tutkimusala voidaan myös laajentaa videoanalyysiin, kuten dynaamisten tekstuurien tunnistukseen, luokitteluun ja synteesiin. Tämä väitöskirjatutkimus myötävaikuttaa kuva- ja videoanalyysin tutkimukseen ja kehittymiseen kahdesta näkökulmasta. Työn ensimmäisessä osassa esitetään kaksi kuvan deskriptiomenetelmää erottelukykyisten esitystapojen luomiseksi kuvien luokitteluun. Ne suunnitellaan ohjaamattomiksi (eli tekstuurikuvien luokkien leimoja ei ole käytettävissä) tai ohjatuiksi (eli luokkien leimat ovat saatavilla). Aluksi kehitetään ohjattu malli oppimaan erottelukykyisiä paikallisia kuvioita, mikä formuloi kuvan deskriptiomenetelmän integroituna kolmikerroksisena mallina - tavoitteena estimoida optimaalinen kiinnostavien kuvioiden alijoukko ottamalla samanaikaisesti huomioon piirteiden robustisuus, erottelukyky ja esityskapasiteetti. Seuraavaksi, sellaisia tapauksia varten, joissa luokkaleimoja ei ole saatavilla, esitetään työssä lineaarinen konfiguraatiomalli kuvaamaan kuvan mikroskooppisia rakenteita ohjaamattomalla tavalla. Tätä käytetään sitten yhdessä paikallisen kuvaajan, eli local binary pattern (LBP) –operaattorin kanssa. Teoreettisella tarkastelulla osoitetaan kehitetyn kuvaajan olevan rotaatioinvariantti ja kykenevän tuottamaan erottelukykyistä, täydentävää informaatiota perinteiselle LBP-menetelmälle. Työn toisessa osassa tutkitaan videoanalyysiä, perustuen staattisen kuvan deskriptioon ja deformoituvaan kuvien rekisteröintiin – sovellusaloina dynaamisten tekstuurien kuvaaminen, synteesi ja tunnistaminen. Aluksi ehdotetaan sellainen malli dynaamisten tekstuurien synteesiin, joka luo jatkuvan ja äärettömän kuvien virran annetusta äärellisen mittaisesta videosta. Menetelmä liittää yhteen videon pätkiä aika-avaruudessa valitsemalla keskenään yhteensopivia kuvakehyksiä videosta ja järjestämällä ne loogiseen järjestykseen. Seuraavaksi työssä esitetään sellainen uusi menetelmä kasvojen ilmeiden tunnistukseen, joka formuloi dynaamisen kasvojen ilmeiden tunnistusongelman pitkittäissuuntaisten kartastojen rakentamisen ja ryhmäkohtaisen kuvien rekisteröinnin ongelmana
Gahli, Ahmed. "Novel probabilistic image representations for information-based image description and analysis." Thesis, University of Nottingham, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.285686.
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