Journal articles on the topic 'Image processing programs'

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1

Crowther, R. A., R. Henderson, and J. M. Smith. "MRC Image Processing Programs." Journal of Structural Biology 116, no. 1 (January 1996): 9–16. http://dx.doi.org/10.1006/jsbi.1996.0003.

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Plata, G. J. D., and R. M. delos Santos. "Application of image processing programs in color analysis of wood photodegradation." Journal of Physics: Conference Series 2288, no. 1 (June 1, 2022): 012003. http://dx.doi.org/10.1088/1742-6596/2288/1/012003.

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Abstract In general, polymer photodegradation is an important aspect of polymer science that is of great interest to chemistry, materials science, biology, and physics students who engage in this field of research. Wood consists of three main polymers, which makes it a good candidate for such photodegradation studies. Aside from structural changes based on chemical analysis, color change assessment can also be employed to check any extent of degradation on wood without the need for sophisticated analytical equipment. This study presents the application of two image processing programs in color analysis of wood photodegradation: ImageJ and Colormath library, which are Java-based and Python-based software, respectively. Images of unexposed and UV-exposed wood samples were taken using a smartphone as an affordable digital camera. RGB channel values from these images were analyzed and quantified by ImageJ software. These values were converted to the corresponding CIEL*a*b* parameters using the Colormath library to calculate the color change, ΔE. For the 3-hour exposed sample, ?E is equal to 4.29. This value indicates appreciable color change, according to the criteria from literature. Regardless of the exposure time, the wood samples become darker as indicated by the negative value in the change in lightness L*
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Baumstark, L. B., and L. M. Wills. "Retargeting sequential image-processing programs for data parallel execution." IEEE Transactions on Software Engineering 31, no. 2 (February 2005): 116–36. http://dx.doi.org/10.1109/tse.2005.26.

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Shin, Jaeho, Gangwon Jo, Ilkoo Lee, and Jaejin Lee. "Automatic Optimization Methods for Image Processing Programs Using OpenCL." KIISE Transactions on Computing Practices 23, no. 3 (March 15, 2017): 188–93. http://dx.doi.org/10.5626/ktcp.2017.23.3.188.

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Arimura, et al., Hidetaka. "Softwares for Development of Image Processing Programs on Mac." Japanese Journal of Radiological Technology 66, no. 12 (2010): 1648–54. http://dx.doi.org/10.6009/jjrt.66.1648.

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Pronin, S. V., V. B. Makulov, A. K. Harauzov, A. V. Chihman, V. N. Chihman, and Y. E. Shelepin. "Tools for Investigating the Perception of Natural Scenes." Perception 26, no. 1_suppl (August 1997): 316. http://dx.doi.org/10.1068/v970283.

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Research on the perception of complex half-tone images and images of natural scenes requires accurate quantitative control of the characteristics of the stimuli. The tools consist of the hardware and the software for stimulation and processing. Our hardware for stimulation includes a CCD, an IBM PC with implementing Frame Grabber, the display, and a device for photometric control. We present programs for image processing allowing control of the brightness scale, reformation, changing the number of discretisation levels, addition and subtraction, programs for convolution operations including frequency filtration approximations, the means of different methods, programs for generation of test images and for generation of noise added to these, and programs for measuring statistical and geometrical characteristics of images. We also present software for use in electrophysiological experiments.
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Gormez, Ozlem, and Hasan Huseyin Yilmaz. "Image Post-Processing in Dental Practice." European Journal of Dentistry 03, no. 04 (October 2009): 343–47. http://dx.doi.org/10.1055/s-0039-1697455.

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ABSTRACTImage post-processing of dental digital radiographs, a function which used commonly in dental practice is presented in this article. Digital radiography has been available in dentistry for more than 25 years and its use by dental practitioners is steadily increasing. Digital acquisition of radiographs enables computer-based image post-processing to enhance image quality and increase the accuracy of interpretation. Image post-processing applications can easily be practiced in dental office by a computer and image processing programs. In this article, image post-processing operations such as image restoration, image enhancement, image analysis, image synthesis, and image compression, and their diagnostic efficacy is described. In addition this article provides general dental practitioners with a broad overview of the benefits of the different image post-processing operations to help them understand the role of that the technology can play in their practices. (Eur J Dent 2009;3:343-347)
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Javůrková, Zdeňka, Matej Pospiech, Simona Ljasovská, Pavel Hrabec, and Bohuslava Tremlová. "Numerical methods and image processing techniques for melissopalynological honey analysis." Potravinarstvo Slovak Journal of Food Sciences 15 (January 28, 2021): 58–65. http://dx.doi.org/10.5219/1517.

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Pollen analysis is a method used for verification of the botanical and geographical honey origin. Currently, much effort is being made to introduce automated systems with the use of image analysis programs. The automatic analysis is impeded by the insufficient depth of field of objects when using a light microscope, however, this can be avoided by using image reconstruction from images obtained from different focal planes. In this method, testing was performed on the normal focus (NF) and extended-depth-of-focus (EDF) images. These two methods were compared and statistically evaluated. The number of pollen grains and selected morphometric characteristics were compared. For EDF images, a higher number of pollen grains was obtained for the analysis, and except for the length/width ratio, a statistically significant difference was observed in the characteristics of pollen grains between the compared NF and EDF methods.
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Lehmann, T. M., E. Troeltsch, and K. Spitzer. "Image processing and enhancement provided by commercial dental software programs." Dentomaxillofacial Radiology 31, no. 4 (July 2002): 264–72. http://dx.doi.org/10.1038/sj.dmfr.4600707.

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Hsu, Quang Cherng. "Prototyping of Image-Based Inspection Mechanisms by CAD and Virtual Reality Technology." Materials Science Forum 594 (August 2008): 15–21. http://dx.doi.org/10.4028/www.scientific.net/msf.594.15.

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Image-processing technology is widely used in industry for automatic inspection and measurement through the capturing of object images by CCD (Charge-Couple Device) cameras and the built-in algorithms. VR (Virtual Reality) is a high-end user interface that involves real-time simulation and interactions through multiple sensorial channels. Three important characteristics of VR are: immersion, interaction, and imagination which enable the users more direct and useful communications with manufacturing prototyping systems. In this paper, an image processing system was developed for measuring small parts such as 3C rivets automatically. If using optical sensors to measure such small parts, the mechanism is complicate. However, if using image process technology, the mechanism is simple and the measurement is efficient. All we have to do are to develop measuring algorithms as well as computer programs. A VR-based image processing system was also developed by importing 3D CAD objects and applying the relationships between these objects. Therefore, the image processing algorithms as well as the layout of the measurement system can be tested by using the proposed VR system without any real machine such as transfer mechanism, CCD camera, and computer with image processing program.
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Khayati, Naoufel, and Wided Lejouad-Chaari. "A Distributed and Collaborative Intelligent System for Medical Diagnosis." ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal 2, no. 2 (August 30, 2013): 1–16. http://dx.doi.org/10.14201/adcaij201325116.

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In this paper, we present a distributed collaborative system assisting physicians in diagnosis when processing medical images. This is a Web-based solution since the different participants and resources are on various sites. It is collaborative because these participants (physicians, radiologists, knowledgebasesdesigners, program developers for medical image processing, etc.) can work collaboratively to enhance the quality of programs and then the quality of the diagnosis results. It is intelligent since it is a knowledge-based system including, but not only, a knowledge base, an inference engine said supervision engine and ontologies. The current work deals with the osteoporosis detection in bone radiographies. We rely on program supervision techniques that aim to automatically plan and control complex software usage. Our main contribution is to allow physicians, who are not experts in computing, to benefit from technological advances made by experts in image processing, and then to efficiently use various osteoporosis detection programs in a distributed environment.
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Maoqiang, Song, Felix Grimm, and Horst Bunke. "A prototype expert system for automatic generation of image processing programs." Journal of Computer Science and Technology 6, no. 3 (July 1991): 296–300. http://dx.doi.org/10.1007/bf02945520.

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13

Curiel, Mariela, David F. Calle, Alfredo S. Santamaría, David F. Suarez, and Leonardo Flórez. "Parallel Processing of Images in Mobile Devices using BOINC." Open Engineering 8, no. 1 (April 19, 2018): 87–101. http://dx.doi.org/10.1515/eng-2018-0012.

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Abstract Medical image processing helps health professionals make decisions for the diagnosis and treatment of patients. Since some algorithms for processing images require substantial amounts of resources, one could take advantage of distributed or parallel computing. A mobile grid can be an adequate computing infrastructure for this problem. A mobile grid is a grid that includes mobile devices as resource providers. In a previous step of this research, we selected BOINC as the infrastructure to build our mobile grid. However, parallel processing of images in mobile devices poses at least two important challenges: the execution of standard libraries for processing images and obtaining adequate performance when compared to desktop computers grids. By the time we started our research, the use of BOINC in mobile devices also involved two issues: a) the execution of programs in mobile devices required to modify the code to insert calls to the BOINC API, and b) the division of the image among the mobile devices as well as its merging required additional code in some BOINC components. This article presents answers to these four challenges.
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Fadjeri, Akhmad, Atik Muhimatun Asroriyah, and Atiq Rahmawati. "Analisis Teks Bahasa Indonesia Dan Inggris Dari Sebuah Citra Menggunakan Pengolahan Citra Digital." Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) 10, no. 2 (November 21, 2022): 42. http://dx.doi.org/10.30646/tikomsin.v10i2.650.

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The purpose of this research is to analyze Indonesian text and English text from images using digital image processing. The method used in this research is an experimental method such as: literature review , identification problems, hypotheses, analyzing materials, designing programs, conducting tests and drawing conclusions. The result of this research is to detect the text contained in the image. This research result a digital image processing program in text that is containing from an image that has text in it, using input or input in form of a character image. The image that will be recognized into text with Tesseract OCR and output the text detected by the program. This program can show the level of accuracy to recognize characters and words. It conducted kind of testing on 8 images use several of text characters on it. In this case, the system can recognize characters on the text form, with an average accuracy 96% of the test data taken on images sourced from the internet. According to the testing results, this level of accuracy indicates that this application is quite accurate and efficient in identification the image of certain word or text character.
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HUSSEIN NASR, Mashaer Abdarahim, Hassan Hamed ABUELHASSAN ABDALLA, Abdelsaki Suliman MOHAMMED HAMID, Abdelfatah Mohammed MOHAMMED AHMED, and Adam Abdalla ELBASHIR ADAM. "THE EFFECT OF LENSES AND LIGHT ON THE GREEN PLANT IMAGING USING MODIFYING CONFOCAL MICROSCOPE." European Journal of Materials Science and Engineering 6, no. 3 (September 19, 2021): 136–41. http://dx.doi.org/10.36868/ejmse.2021.06.03.136.

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Image processing becomes one of the most important demands, requisites and exigencies in the 20th century, because of its usages in many and different parts of habitats and customs, so the enhanced image represents the main issue for scientists and researchers, where little methods, devices and programs were existing. According to this, our study was significantly concerned with the image processing; namely, the living cell imaged using different lenses on the confocal microscopy. The microscope was designed very well to give perfect resolution imaged taken from different situation (angles) and different lenses with the magnification (X = 40, 100 and 160) and various light sources (white light, laser red, laser blue, and laser green). From the results conducted and achieved it's clear that the lens with magnification 100 and near wavelength light color gives more information about the living cell (object). The histograms confirm vigorously these results, so this could solve and enhanced the resolution image in multi disciplines, scopes and avenues.
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McKernan, Stuart, D. René Rasmussen, and C. Barry Carter. "Limits to the determination of the rigid-body translations." Proceedings, annual meeting, Electron Microscopy Society of America 49 (August 1991): 664–65. http://dx.doi.org/10.1017/s042482010008763x.

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With the advent of the personal computer revolution, the availability of computing power for performing image-processing and image-simulation calculations is widespread. Many programs now exist to perform these functions with a varying amount of approximation, such as using 2-beams only or a systematic row of beams, or calculating the image with and without the column approximation. It is possible to obtain very close agreement between the experimental and the simulated images, depending on the parameters used, and the assumptions made in performing the calculation. The simulation of the images of defects in materials has, in many cases, therefore become a tractable problem.
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17

Shiby, Ashik. "Detection of Fake Currency using Image Processing." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (July 10, 2021): 419–23. http://dx.doi.org/10.22214/ijraset.2021.36348.

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In its definition, the term 'currency' defines an agreed-upon exchange item, the national currency being the legal entity used by the selected controlling entity. Throughout history, issuers have faced 1 common threat: counterfeit. In recent years fake money note has been printed that has resulted in significant losses and damage to society. Therefore, it becomes necessary to build a tool for earning money. This research project proposes a way to look at the note of counterfeit money distributed in our country through their image. After selecting an image use pre-processing. In pre-processing, the acquired image is cropped, smooth, and adjust. Change the image to grey-scale. After conversion use image separation. Features are extracted and reduce. Finally, compare the picture to be real or fake. Duplicate money has been a major problem in the market. There are currency counting machines available in banks and other trading venues to check financial authenticity. Most people do not have access to such programs which is why there is a need for fake money laundering software, which can be used by ordinary people. This proposed framework uses Image Processing to determine whether the money is real or counterfeit. The research project program is built entirely using Python's programming language. It has the methods such as grayscale conversion, edge detection, segmentation, etc.
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Wang, Xin. "Simulation of Automatic and Intelligent Mechanical Arm." Applied Mechanics and Materials 214 (November 2012): 822–29. http://dx.doi.org/10.4028/www.scientific.net/amm.214.822.

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This paper presents a robot image processing combined with the working principle of the technique on the intelligent mobile robot design. Mechanical arm can quickly determine the locations of target and Grip the target through image processing techniques, doesn't need to use the theory of complex image processing or additional sensors to measure depth. Programs can significantly reduce computation time, achieve real time operation. In this study, the company launched Autodesk Inventor software to simulate the mobile mechanical arm. In the simulation experiments, must consider the designed arm degree of freedom, and action fluency.
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Clouard, R., A. Elmoataz, C. Porquet, and M. Revenu. "Borg: a knowledge-based system for automatic generation of image processing programs." IEEE Transactions on Pattern Analysis and Machine Intelligence 21, no. 2 (1999): 128–44. http://dx.doi.org/10.1109/34.748822.

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20

Treffers, Richard R., and Michael W. Richmond. "PCVISTA: A Library of Astronomical Image-Processing Programs for the IBM PC." Publications of the Astronomical Society of the Pacific 101 (August 1989): 725. http://dx.doi.org/10.1086/132496.

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Vokes, Martha S., and Anne E. Carpenter. "CellProfiler: Open-Source Software to Automatically Quantify Images." Microscopy Today 16, no. 5 (September 2008): 38–39. http://dx.doi.org/10.1017/s1551929500061757.

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Researchers often examine samples by eye on the microscope — qualitatively scoring each sample for a particular feature of interest. This approach, while suitable for many experiments, sacrifices quantitative results and a permanent record of the experiment. By contrast, if digital images are collected of each sample, software can be used to quantify features of interest. For small experiments, quantitative analysis is often done manually using interactive programs like Adobe Photoshop©. For the large number of images that can be easily collected with automated microscopes, this approach is tedious and time-consuming. NIH Image/ImageJ (http://rsb.info.nih.gov/ij) allows users comfortable writing in a macro language to automate quantitative image analysis. We have developed Cell- Profiler, a free, open-source software package, designed to enable scientists without prior programming experience to quantify relevant features of samples in large numbers of images automatically, in a modular system suitable for processing hundreds of thousands of images.
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CLOUARD, RÉGIS, ARNAUD RENOUF, and MARINETTE REVENU. "AN ONTOLOGY-BASED MODEL FOR REPRESENTING IMAGE PROCESSING APPLICATION OBJECTIVES." International Journal of Pattern Recognition and Artificial Intelligence 24, no. 08 (December 2010): 1181–208. http://dx.doi.org/10.1142/s0218001410008354.

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This paper investigates the types of information that are necessary and sufficient to design and evaluate image processing software programs, and proposes a representation of these information elements using a computational language performable by vision systems and understandable by experts. The language is built upon a formulation model which distinguishes the specification of a goal and the definition of an input image class. Goals are stated in terms of tasks together with result samples. Image classes are defined by both linguistic and iconic descriptions. The model is implemented as an OWL domain ontology which provides the primitives for the formulation language.
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Subarsyah, H. M. Manik, and A. Albab. "Side-scan sonar image processing: Seabed classification based on acoustic backscattering." IOP Conference Series: Earth and Environmental Science 944, no. 1 (December 1, 2021): 012001. http://dx.doi.org/10.1088/1755-1315/944/1/012001.

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Abstract The smoothness of vessel traffic flow is the most important thing in the shipping industry of port. Traffic problems are commonly solved by development and maintenance programs. Seabed conditions in the port-channel should be known to be considered in port development and maintenance programs related to port efficiency, safety navigation, and berthing. The objective of this paper is to characterize seabed into several classes of geological features. The Seabed condition and characteristics are classified based on image processing of side scan sonar data. The image processing will extract pixel value parameters; intensity, entropy, and standard deviation. Classification use combination of these pixel view parameter to define each class. Seabed classification has been successfully carried out in Teluk Bayur Port and classified into five classes, sandy silt, silty sand, fine sand, coarse sand, and rocks or reefs. Indication of crack or shallow structure was also identified. These results of classification are necessary to verify by sediment sampling and visual inspection, and then it should be reclassified to become a valid classification.
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Nakane, Takanori, Yasumasa Joti, Kensuke Tono, Makina Yabashi, Eriko Nango, So Iwata, Ryuichiro Ishitani, and Osamu Nureki. "Data processing pipeline for serial femtosecond crystallography at SACLA." Journal of Applied Crystallography 49, no. 3 (April 18, 2016): 1035–41. http://dx.doi.org/10.1107/s1600576716005720.

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A data processing pipeline for serial femtosecond crystallography at SACLA was developed, based onCheetah[Bartyet al.(2014).J. Appl. Cryst.47, 1118–1131] andCrystFEL[Whiteet al.(2016).J. Appl. Cryst.49, 680–689]. The original programs were adapted for data acquisition through the SACLA API, thread and inter-node parallelization, and efficient image handling. The pipeline consists of two stages: The first, online stage can analyse all images in real time, with a latency of less than a few seconds, to provide feedback on hit rate and detector saturation. The second, offline stage converts hit images into HDF5 files and runsCrystFELfor indexing and integration. The size of the filtered compressed output is comparable to that of a synchrotron data set. The pipeline enables real-time feedback and rapid structure solution during beamtime.
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SANTOSO, KOEKOEH, ULFATIN KHOIRIYAH HEROWATI, DENNY WIDYA LUKMAN, SRI MURTINI, DORDIA ANINDITA ROTINSULU, and RONALD TARIGAN. "COMPARING ANTIBODY TITERS AFTER VACCINATION IN DOGS USING ELISA READER WITH IMAGE PROCESSING TECHNIQUES." INTERNATIONAL CONFERENCE ON RESEARCH AND DEVELOPMENT (ICORAD) 1, no. 1 (February 26, 2022): 85–98. http://dx.doi.org/10.47841/icorad.v1i1.13.

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Rabies is a zoonotic diseases that is caused by a virus of the genus Lyssa virus that attacks the central nervous system (CNS) and is transmitted through the bite of Rabies Transmitting Animals, especially dogs. Rabies can be prevented but is always fatal in humans if it infects the Central Nervous System (CNS). Vaccination has been used as one of the rabies prevention programs. A total of 83 samples were tested using Indirect ELISA (Enzyme-Linked Immunosorbent Assay) to identify antibody titers after rabies vaccination. Antibody titer correlated with absorbance value and concentration of standard solution. The absorbance value was read by ELISA reader and desktop scanner. The absorbance values were read at 450 nm and 620 nm as a reference using an ELISA reader and images from a desktop scanner were processed using the ImageJ application. The purpose of this study was to compare the obtained results using an ELISA reader as the gold standard and scanner images processed using ImageJ including sensitivity, specificity, and accuracy. There is no significant difference between the ELISA reader as the gold standard and alternative test equipment. The desktop scanner has a sensitivity of 97%, a specificity of 88.8% and an accuracy of 96%. The absorbance measurement method using an ELISA reader is expensive and difficult relatively to carry out in a laboratory with minimum financial support so that the image from desktop scanner processed using the ImageJ application is expected to be an alternative choice for an ELISA (Enzyme-Linked Immunosorbent Assay).
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Gupta, S., and N. Mohan. "Color Channel Characteristics (CCC) for Efficient Digital Image Forensics." Engineering, Technology & Applied Science Research 8, no. 1 (February 20, 2018): 2555–61. http://dx.doi.org/10.48084/etasr.1744.

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Digital image forgery has become extremely easy as low-cost image processing programs are readily available. Digital image forensics is a science of classifying images as authentic or manipulated. This paper aims at implementing a novel digital image forensics technique by exploiting an image’s Color Channel Characteristics (CCC). The CCCs considered are the noise and edge characteristics of the image. Averaging, median, Gaussian and Wiener filters along with Sobel, Canny, Prewitt and Laplacian of Gaussian (LoG) edge detectors are applied to get the noise and texture features. A complete, no reference, blind classifier for image tamper detection has been proposed and implemented. The proposed CCC classifier can detect copy-move as well as image splicing accurately with lower dimensionality. Support Vector Machine is used for classification of images as authentic or tampered. Experimental results have shown that the proposed technique outperforms the existing ones and may serve as a complete tool for digital image forensics.
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Mohamed, Mohamed Taha AlMakki, Latifa Shaheen Al-Naimi, Tochukwu Innocent Mgbeojedo, and Chidiebere Charles Agoha. "Geological mapping and mineral prospectivity using remote sensing and GIS in parts of Hamissana, Northeast Sudan." Journal of Petroleum Exploration and Production Technology 11, no. 3 (March 2021): 1123–38. http://dx.doi.org/10.1007/s13202-021-01115-3.

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AbstractIn recent years, various geological activities and different mineral prospecting and exploration programs have been intensified along the Red Sea hills in order to elucidate the geological maps and to evaluate the mineral potentials. This study is therefore aimed at testing the viability of using remote sensing and geographic information system (GIS) techniques for geological mapping and prospecting for gold mineralization in the area. The study area is located in northeast Sudan and covers an area of about 1379 km2. Different digital image processing techniques were applied to Landsat 8 Operational Land Imager image in order to increase the discrimination between various lithological units and to delineate wall rock alteration which represents target zones for gold mineralization. Image sharpening was performed to enhance the spatial resolution of the images for more detailed information. Contrast stretching was applied after the various digital processing procedures to produce more interpretable images. The principal component analysis transformations yielded saturated images and resulted in more interpretable images than the original data. Several ratio images were prepared, combined together and displayed in RGB color composite ratio images. This process revealed the existence of alteration zones in the study area. These zones extend from the northeast to the southwest in the acid meta-volcanic and silica barite rocks. The enhanced satellite images were implemented in the GIS environment to facilitate the final production of the geological map at scale 1:400,000. X-ray fluorescence analyses prove that selected samples taken from the wall rock alteration zones are gold-bearing.
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Raschke, Scott A., Roman D. Hryciw, and Gregory W. Donohoe. "Microdeformations in Sands by Digital Image Processing and Analysis." Transportation Research Record: Journal of the Transportation Research Board 1548, no. 1 (January 1996): 31–37. http://dx.doi.org/10.1177/0361198196154800105.

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Laboratory experiments are typically performed on particulate media to study stress-deformation behavior and to verify or calibrate computer models from controlled or measured boundary stresses and displacements. However, such data do not permit the formation of shear bands, displacement fields within flowing granular media, and other small-scale localized deformation phenomena to be identified. Described are two semiautomated computer vision techniques for accurately determining the two-dimensional displacement field in granular soils from video images obtained through a transparent planar viewing window. The techniques described are applicable for studying the behavior of particulate media under plane strain and certain axisymmetric test conditions. Digital image processing and analysis routines are used in two different computer programs, Tracker and Tracer, Tracker uses a graphical user interface that allows individual particles to be selected and tracked through a sequence of digital video images. A contrast edge detection algorithm delineates the two-dimensional projected boundaries of particles. The location of the centroid of each particle selected for tracking is determined from the boundary to quantify the trajectory of each particle. Tracer maps the trace or trajectory of specially dyed fluorescent particles in a sequence of video frames. A thresholding technique segments individual particle trajectories. Together, Tracker and Tracer provide a set of tools for identifying small-scale displacement fields in particulate assemblies deforming under either quasi-static or rapid loading (such as gravity flow).
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McKernan, Stuart. "The quantitative comparison of experimental and simulated diffraction contrast images." Proceedings, annual meeting, Electron Microscopy Society of America 53 (August 13, 1995): 102–3. http://dx.doi.org/10.1017/s042482010013688x.

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For many years the concept of quantitative diffraction contrast experiments might have consisted of the determination of dislocation Burgers vectors using a g.b = 0 criterion from several different 2-beam images. Since the advent of the personal computer revolution, the available computing power for performing image-processing and image-simulation calculations is enormous and ubiquitous. Several programs now exist to perform simulations of diffraction contrast images using various approximations. The most common approximations are the use of only 2-beams or a single systematic row to calculate the image contrast, or calculating the image using a column approximation. The increasing amount of literature showing comparisons of experimental and simulated images shows that it is possible to obtain very close agreement between the two images; although the choice of parameters used, and the assumptions made, in performing the calculation must be properly dealt with. The simulation of the images of defects in materials has, in many cases, therefore become a tractable problem.
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Aliane, Nourdine, Carlos Quiterio Gomez Muñoz, and Javier Sánchez-Soriano. "Web and MATLAB-Based Platform for UAV Flight Management and Multispectral Image Processing." Sensors 22, no. 11 (June 2, 2022): 4243. http://dx.doi.org/10.3390/s22114243.

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The deployment of any UAV application in precision agriculture involves the development of several tasks, such as path planning and route optimization, images acquisition, handling emergencies, and mission validation, to cite a few. UAVs applications are also subject to common constraints, such as weather conditions, zonal restrictions, and so forth. The development of such applications requires the advanced software integration of different utilities, and this situation may frighten and dissuade undertaking projects in the field of precision agriculture. This paper proposes the development of a Web and MATLAB-based application that integrates several services in the same environment. The first group of services deals with UAV mission creation and management. It provides several pieces of flight conditions information, such as weather conditions, the KP index, air navigation maps, or aeronautical information services including notices to Airmen (NOTAM). The second group deals with route planning and converts selected field areas on the map to an UAV optimized route, handling sub-routes for long journeys. The third group deals with multispectral image processing and vegetation indexes calculation and visualizations. From a software development point of view, the app integrates several monolithic and independent programs around the MATLAB Runtime package with an automated and transparent data flow. Its main feature consists in designing a plethora of executable MATLAB programs, especially for the route planning and optimization of UAVs, images processing and vegetation indexes calculations, and running them remotely.
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Wolkowski, Bailey, Elisabeth Snead, Michal Wesolowski, Jaswant Singh, Murray Pettitt, Rajni Chibbar, Seyedali Melli, and James Montgomery. "Assessment of freeware programs for the reconstruction of tomography datasets obtained with a monochromatic synchrotron-based X-ray source." Journal of Synchrotron Radiation 22, no. 4 (June 24, 2015): 1130–38. http://dx.doi.org/10.1107/s1600577515008437.

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Synchrotron-based in-line phase-contrast computed tomography (PC-CT) allows soft tissue to be imaged with sub-gross resolution and has potential to be used as a diagnostic tool. The reconstruction and processing of in-line PC-CT datasets is a computationally demanding task; thus, an efficient and user-friendly software program is desirable. Four freeware programs (NRecon,PITRE,H-PITREandAthabasca Recon) were compared for the availability of features such as dark- and flat-field calibration, beam power normalization, ring artifact removal, and alignment tools for optimizing image quality. An in-line PC-CT projection dataset (3751 projections, 180° rotation, 10.13 mm × 0.54 mm) was collected from a formalin-fixed canine prostate at the Biomedical Imaging and Therapy Bending Magnet (BMIT-BM) beamline of the Canadian Light Source. This dataset was processed with each of the four software programs and usability of the program was evaluated. Efficiency was assessed by how each program maximized computer processing power during computation.Athabasca Reconhad the least-efficient memory usage, least user-friendly interface, and lacked a ring artifact removal feature.NRecon,PITREandH-PITREproduced similar quality images, but theAthabasca Reconreconstruction suffered from the lack of a native ring remover algorithm. The 64-bit version ofNReconuses GPU (graphics processor unit) memory for accelerated processing and is user-friendly, but does not provide necessary parameters for in-line PC-CT data, such as dark-field and flat-field correction and beam power normalization.PITREhas many helpful features and tools, but lacks a comprehensive user manual and help section.H-PITREis a condensed version ofPITREand maximizes computer memory for efficiency. To conclude,NReconhas fewer imaging processing tools thanPITREandH-PITRE, but is ideal for less experienced users due to a simple user interface. Based on the quality of reconstructed images, efficient use of computer memory and parameter availability,H-PITREwas the preferred of the four programs compared.
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Wiegand, David A., Robert B. Page, and David S. Channin. "The Surgical Workstation: Surgical Planning Using Generic Software." Otolaryngology–Head and Neck Surgery 109, no. 3 (September 1993): 434–40. http://dx.doi.org/10.1177/019459989310900308.

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Computer software for rendering and display of three-dimensional data is becoming readily available for all types of computers. Such programs typically accept data from any source, compute a three-dimensional volume of data, and display it with a variety of rendering options. Although not specifically designed for medical image processing, these programs can provide very detailed and finely rendered images that are useful for surgical planning. We use one such program to display data from standard computed tomography scans, which gives us a photorealistic three-dimensional view of patient anatomy. This view can be modified to render tissues transparent, translucent, or opaque, and thus allows the surgeon to selectively enhance bony architecture, tumors, or other details. Images can be rotated, sliced, and displayed in the surgical position. Image animation can be added to facilitate the display of complex anatomic relationships. Our experience with this technology suggests that such programs can provide the basis for personal surgical workstations for medical image analysis and surgical planning. Further development of such generic imaging systems should allow this useful technology to become widely available for surgical planning and education. We discuss our experience with a typical generic imaging workstation. (OTOLARYNGOL HEAD NECK SURG 1993;109:434-40.)
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Wei, Yu Lan, Bing Li, Dan Zhang, and Yun Hai Qin. "The Strip Steel Surface Defects Detection Adaptive Preprocessing Method Based on Double Field." Advanced Materials Research 549 (July 2012): 576–79. http://dx.doi.org/10.4028/www.scientific.net/amr.549.576.

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Double field detection method can effectively solve missing detection and mistake detection problems. But because the image data is two times as single field detection, and therefore the detection speed is slow. A new Processing flow is put forward. Firstly, the suspected defect images are filtered out, and only the images that contain defects can be processed in the follow programs. Secondly, the retained suspected defect images are divided into two categories. Different categories are handled by different process. The simulation experiment result shows that: it not only makes full use of the advantages of the double field method, and greatly reduces the image data quantity, at the same time ensuring the real-time of the system.
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Prestridge, Eddie B. "Unix-based workstations for digital image processing and analysis." Proceedings, annual meeting, Electron Microscopy Society of America 54 (August 11, 1996): 610–11. http://dx.doi.org/10.1017/s0424820100165513.

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The modern workstation, with its inherent high speed and massive memory, allows the use of complicated image analysis and processing algorithms and artificial intelligence programs not available to current PCs and mini-computers.There is no single feature that differentiates the UNIX based workstation from a PC. Rather, it is its fundamental design that gives the workstation superior performance. This superiority in no small part is the result of the UNIX operating system. UNIX is a word that sometimes strikes fear into the hearts of mortal men! There is no reason to fear, however. Users of UNIX-based systems have no more interaction with the operating system than say users of WordPerfect running on a MS-DOS or MAC OS machine.UNIX is the only operating system that runs on a wide range of systems from laptops to mainframes. It is unique in at least five areas: 1) massive data sets handling, 2) multitasking, 3) multi-user, 4) security, and 5) networking. Let me give you what I think are usable descriptions for these five areas.
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Jumbo, Olga, and Ramin Moghaddass. "Resource optimization and image processing for vegetation management programs in power distribution networks." Applied Energy 319 (August 2022): 119234. http://dx.doi.org/10.1016/j.apenergy.2022.119234.

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36

Matviychuk, A. O., Ye A. Nastenko, and O. G. Kiseleva. "Study of arterial hemodynamics using programs medical image processing and finite element analysis." Electronics and Communications 16, no. 2 (March 28, 2011): 115–18. http://dx.doi.org/10.20535/2312-1807.2011.16.2.268266.

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The aspects of mathematical modeling of the artery was examined in this article. The numerical analysis of blood flow through the arery was carried ut. Computer 3D-model was built using the program MIMICS for 3Dsynthesis and processing medical images. Blood was assumed to be homogeneous, incompressible Newtonian fluid. The finiteelement package Ansys was used for blood flow study. Analysis of obtained data shows a significant influence of artery narrowing upon blood flow behavior.
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Nam, Ki Hyun. "Processing of Multicrystal Diffraction Patterns in Macromolecular Crystallography Using Serial Crystallography Programs." Crystals 12, no. 1 (January 13, 2022): 103. http://dx.doi.org/10.3390/cryst12010103.

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Cryocrystallography is a widely used method for determining the crystal structure of macromolecules. This technique uses a cryoenvironment, which significantly reduces the radiation damage to the crystals and has the advantage of requiring only one crystal for structural determination. In standard cryocrystallography, a single crystal is used for collecting diffraction data, which include single-crystal diffraction patterns. However, the X-ray data recorded often may contain diffraction patterns from several crystals. The indexing of multicrystal diffraction patterns in cryocrystallography requires more precise data processing techniques and is therefore time consuming. Here, an approach for processing multicrystal diffraction data using a serial crystallography program is introduced that allows for the integration of multicrystal diffraction patterns from a single image. Multicrystal diffraction data were collected from lysozyme crystals and processed using the serial crystallography program CrystFEL. From 360 images containing multicrystal diffraction patterns, 1138 and 691 crystal lattices could be obtained using the XGANDALF and MOSFLM indexing algorithms, respectively. Using this indexed multi-lattice information, the crystal structure of the lysozyme could be determined successfully at a resolution of 1.9 Å. Therefore, the proposed approach, which is based on serial crystallography, is suitable for processing multicrystal diffraction data in cryocrystallography.
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Chernobrivtseva, V. V., and A. S. Misyurin. "NEW TECHNOLOGIES IN RADIOLOGY DIAGNOSTICS." Practical oncology 23, no. 4 (December 30, 2022): 203–10. http://dx.doi.org/10.31917/2304203.

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Today, modern medical imaging techniques are in the process of developing and implementing machine learning and neural network-based programs to improve diagnosis of several diseases, including cancer. Such methods of image processing are superior to traditional methods of image assessment and reduce the time required and diagnostic error rate. In addition, more advanced programs, in the foreseeable future, will be able to act as a second opinion for the doctor, helping him in making decisions on the choice of techniques for treating patients. In this paper some aspects related to radiomics and radiogenomics, machine learning and the challenges of implementing the latest image evaluation algorithms are discussed.
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Ackerman, Larry D., and W. T. Jansen. "A film recording and image processing system for confocal microscopy." Proceedings, annual meeting, Electron Microscopy Society of America 48, no. 3 (August 12, 1990): 798–99. http://dx.doi.org/10.1017/s0424820100161552.

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Scanning confocal microscopy has developed into a very useful technique for many scientific investigations. However, commercial development has been so rapid that some recent advances in computer graphics and imaging have not been incorporated into the commercial systems. One particular concern was high quality hard copy with alpha-numeric and graphic overlays. A subsystem was developed to provide this output for the BioRad MRC-500/600 confocal imaging system.A digital film recorder, an Agfa Matrix Procolor was chosen as the principal element of hardware. This compact unit can record an image at a resolution of 4096 horizontal by 3072 vertical pixels at a cost equivalent to popular analog video film recorders. The interface is a standard IEEE 488 GPIB board. It is compatible with various film emulsions such as Kodak Ecktachrome 100 as well as many of the major graphics arts and image processing programs. The second element of hardware in this system is an ATVista 4M image processing board.
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Ciulli, Enrico, Giovanni Pugliese, and Francesco Fazzolari. "Film Thickness and Shape Evaluation in a Cam-Follower Line Contact with Digital Image Processing." Lubricants 7, no. 4 (March 28, 2019): 29. http://dx.doi.org/10.3390/lubricants7040029.

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Film thickness is the most important parameter of a lubricated contact. Its evaluation in a cam-follower contact is not easy due to the continuous variations of speed, load and geometry during the camshaft rotation. In this work, experimental apparatus with a system for film thickness and shape estimation using optical interferometry, is described. The basic principles of the interferometric techniques and the color spaces used to describe the color components of the fringes of the interference images are reported. Programs for calibration and image analysis, previously developed for point contacts, have been improved and specifically modified for line contacts. The essential steps of the calibration procedure are illustrated. Some experimental interference images obtained with both Hertzian and elastohydrodynamic lubricated cam-follower line contacts are analyzed. The results show program is capable of being used in very different conditions. The methodology developed seems to be promising for a quasi-automatic analysis of large numbers of interference images recorded during camshaft rotation.
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41

Radzimski, Z. J. "Image simulation in scanning electron microscopy." Proceedings, annual meeting, Electron Microscopy Society of America 51 (August 1, 1993): 544–45. http://dx.doi.org/10.1017/s0424820100148551.

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The development of image acquisition and processing software has made microscopy, including scanning electron microscopy (SEM), a very precise tool. Various processing techniques for image quality enhancement and image quantification have been introduced. However, the theoretical bases for SEM analysis are not always fully understood. Using Monte-Carlo (MC) methods several important issues have been successfully addressed, for example, X-ray production and backscattered electron (BSE) simulation. MC methods provide insight into the physical basis of electron beam/solid interactions and offer a wide degree of freedom in setting the simulation conditions regarding sample geometry, the electron beam, and signal collection. The results can be extracted at any stage of electron-target interactions to determine energy, angular and/or spatial distributions. MC programs with a single scattering approach, Mott scattering cross section and corrected Bethe's formula for energy loss can be used for both low and high energy electrons. The simulation can be performed for complicated structures with multi-element phases of various shapes.
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Campana, Charles, Joerg Kaercher, John Chambers, and Vaclav Petricek. "Processing Twinned-Modulated and Composite Structures from CCD / CMOS Images." Acta Crystallographica Section A Foundations and Advances 70, a1 (August 5, 2014): C173. http://dx.doi.org/10.1107/s205327331409826x.

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The Bruker APEX2 [1] software suite includes a full set of crystallographic programs for the solution and refinement of routine crystal structures. In addition to the standard tools required for routine problems, a number of advanced tools are also provided for analysis of non-merohedral twins and modulated structures. These tools include the CELL_NOW [2], SADABS [2] and TWINABS [2] programs and a Reciprocal Lattice Viewer with a q-vector analysis option. The Bruker SAINT [2] program is routinely used for the integration of image data collected with Bruker CCD (APEX II) or CMOS (PHOTON 100) two-dimensional detectors as part of the APEX2 software suite. SAINT has many advanced features for the processing of non-routine datasets. For example, a variety of new options have been implemented to facilitate the simultaneous integration of multiple domains for twinned and composite structures. Higher dimensional crystallography may be used to integrate modulated structures with up to three q-vectors. The output data for modulated structures may be output in either HKL5 or HKLF6 format suitable for input into the JANA2006[3] program. We will present results for one twinned-modulated structure and one composite structure to illustrate the use of the respective advanced options in SAINT to integrate images and JANA2006 to refine the structures.
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Steinebach, Martin, Sebastian Jörg, and Huajian Liu. "Checking the Integrity of Images with Signed Thumbnail Images." Electronic Imaging 2020, no. 4 (January 26, 2020): 118–1. http://dx.doi.org/10.2352/issn.2470-1173.2020.4.mwsf-118.

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The integrity of images is an important and interesting field of research, since digital images are constantly encountered in everyday life today. The availability of image processing programs makes it possible for almost anyone to manipulate images without great effort. With the help of social media platforms, the hurdle for their distribution to a very large number of viewers has also been lowered. As a result, confidence in the integrity and authenticity of images, which was even stronger at the time of analogue photography, is dwindling. The aim of this work is to develop and investigate a concept that counteracts the lost trust and creates an opportunity to check the integrity of processed images. The concept is based on a combination of signed thumbnails and the logging of possible processing steps. We show that this combination has advantages compared to the existing approaches.
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Yonekura, Koji, Chikashi Toyoshima, Saori Maki-Yonekura, and Keiichi Namba. "GUI programs for processing individual images in early stages of helical image reconstruction—for high-resolution structure analysis." Journal of Structural Biology 144, no. 1-2 (October 2003): 184–94. http://dx.doi.org/10.1016/j.jsb.2003.09.034.

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45

Zingirian, N., and M. Maresca. "On the efficiency of image and video processing programs on instruction level parallel processors." Proceedings of the IEEE 90, no. 7 (July 2002): 1230–43. http://dx.doi.org/10.1109/jproc.2002.801445.

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46

Suzuki, Genjiro, Hiroshi Sawai, Miwaka Ohtani, Satoru Nogami, Fumi Sano-Kumagai, Ayaka Saka, Masashi Yukawa, et al. "Evaluation of image processing programs for accurate measurement of budding and fission yeast morphology." Current Genetics 49, no. 4 (January 6, 2006): 237–47. http://dx.doi.org/10.1007/s00294-005-0051-0.

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47

Wang, Yu-li. "Fluorescence microscopy of molecular organization and dynamics in cultured cells." Proceedings, annual meeting, Electron Microscopy Society of America 50, no. 1 (August 1992): 550–51. http://dx.doi.org/10.1017/s0424820100123155.

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Over the past ten years various technical advances have allowed the direct study of molecular activities in cultured cells under a fluorescence microscope. Fluorescent probes are well known for their high sensitivity, specificity and amenability to various spectroscopic analyses. When used in conjunction with low-light-level detectors and image processing computers, high resolution images of weak signals from single cells can be successfully acquired. In addition, the availability of digitized images has greatly facilitated the extraction of photometric and morphometric information.We use Zeiss inverted microscopes equipped with epi-illuminators and Dage-MTI ISIT video cameras or Photometrics cooled CCD cameras. Custom incubator systems built on the microscope stages allow the maintenance of live cells for up to several days. The signals are processed with image processing systems (Imaging Technologies) interfaced with graphics workstations (Silicon Graphics, Model 3130 or 4D/20) or personal computers (386/33). All images are acquired by frame averaging/signal integration, followed by subtraction of the dark noise, and storage as computer files. A variation of this simple processing strategy has allowed the detection of extremely weak signals that are essentially invisible on unprocessed ISIT images. Computer programs are then used to display sequences or images as motion pictures, to measure the linear dimension and angular orientation, and to integrate intensities over defined areas.
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48

Zhou, Feng, Yi Jian Pei, Hao Wu, and Zhi Jun Chen. "Bone Repair with Compressive Sensing Based on MRI." Applied Mechanics and Materials 380-384 (August 2013): 4019–22. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.4019.

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With the development of society, much technology has been invented, many problems have been conquered. But it is still very hard for medical science. For example, physicians usually obtain the lesion information by means of medical imaging equipment and computer visualization techniques, to judge the symptoms, and develop appropriate treatment programs. However, it is hard for Magnetic Resonance Imaging (MRI) equipment to get high-quality image of the lesion, and then extract the pathological features of high quality. This paper will introduce a method to overcome this tough stuff. This paper attempts to adopt compressed sensing technology for image processing in the bone repair process. Lesion images are first acquired via MRI, then with the wavelet transform, to get the sparse matrix by the wavelet coefficient sparse representation. The method can obtain compressed images, and extract the corresponding pathological features without reducing the image quality.
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Akay, A. E., B. Gencal, and İ. Taş. "SPATIOTEMPORAL CHANGE DETECTION USING LANDSAT IMAGERY: THE CASE STUDY OF KARACABEY FLOODED FOREST, BURSA, TURKEY." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-4/W4 (November 13, 2017): 31–35. http://dx.doi.org/10.5194/isprs-annals-iv-4-w4-31-2017.

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This short paper aims to detect spatiotemporal detection of land use/land cover change within Karacabey Flooded Forest region. Change detection analysis applied to Landsat 5 TM images representing July 2000 and a Landsat 8 OLI representing June 2017. Various image processing tools were implemented using ERDAS 9.2, ArcGIS 10.4.1, and ENVI programs to conduct spatiotemporal change detection over these two images such as band selection, corrections, subset, classification, recoding, accuracy assessment, and change detection analysis. Image classification revealed that there are five significant land use/land cover types, including forest, flooded forest, swamp, water, and other lands (i.e. agriculture, sand, roads, settlement, and open areas). The results indicated that there was increase in flooded forest, water, and other lands, while the cover of forest and swamp decreased.
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Ransick, Mark H., and Chadwick D. Barklay. "Interfacing a Personal Computer to an Analog Scanning Electron Microscope for Storing Images on Optical Disks." Proceedings, annual meeting, Electron Microscopy Society of America 48, no. 2 (August 12, 1990): 84–85. http://dx.doi.org/10.1017/s0424820100134016.

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Most manufacturers of scanning electron microscopes (SEM) now offer models that display an image digitally. This holds many advantages, including the ability to store the image on a disk and perform image analysis on the sample. Most SEMs in service, however, produce only an analog video output; they do not have the ability to digitize the image. Film is the only method of storing images.Consequentially, film is a significant portion of every microscopy laboratory’s budget. Completely eliminating the use of film from use is not practical. There will always be the need to examine a hard copy of the image; many programs require duplicate copies of each image generated; and it is sound practice to keep a copy of each image on file. By archiving digital images to an inexpensive media, the amount of film used or the time devoted to processing negatives can be greatly reduced.By using personal computers (PCs)s, with a digitizing board and analog to digital (A/D) board, it is possible to construct a relatively low cost digitizing system for any SEM.
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