Готові списки джерел за темами / Image processing programs

Добірка наукової літератури з теми "Image processing programs"

Автор: Grafiati
Опубліковано: 10 грудня 2022
Оновлено: 28 січня 2023

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Статті в журналах з теми "Image processing programs"

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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2

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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6

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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7

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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Дисертації з теми "Image processing programs"

1

Darbhamulla, Lalitha. "A Java image editor and enhancer." CSUSB ScholarWorks, 2004. https://scholarworks.lib.csusb.edu/etd-project/2705.

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The purpose of this project is to develop a Java Applet that provides all the tools needed for creating image fantasies. It lets the user pick a template and an image, and combine them together. The user can then apply image processing techniques such as rotation, zooming, blurring etc according to his/her requirements.
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Chen, Dan Chary. "Pathological image processing and geometric modelling for improved management of colorectal cancer." Thesis, University of Oxford, 2015. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.711813.

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Pei, Mo Mo. "Modeling the performance of many-core programs on GPUs with advanced features." Thesis, University of Macau, 2012. http://umaclib3.umac.mo/record=b2592954.

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Teng, Shyh Wei 1973. "Image indexing and retrieval based on vector quantization." Monash University, Gippsland School of Computing and Information Technology, 2003. http://arrow.monash.edu.au/hdl/1959.1/5764.

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Schaefer, Charles Robert. "Magnification of bit map images with intelligent smoothing of edges." Thesis, Kansas State University, 1986. http://hdl.handle.net/2097/9950.

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Kirkpatrick, Michael Gorden. "Optical character recognition : an approach using self- adjusting segmentation of a matrix." Virtual Press, 1997. http://liblink.bsu.edu/uhtbin/catkey/1048390.

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The problem of optical pattern recognition is a broad one. It ranges from identifying shapes in aerial photographs to recognizing letters in hand or machine printed words. This thesis examines many of the issues relating to pattern recognition and, specifically, those pertaining to the optical recognition of characters. It discusses several approaches to various parts of the problem as an illustration of the variety of methods of attack. Some of the particular strengths and weaknesses of those approaches are discussed as well. Finally, a new method of approaching OCR is introduced, developed, and studied. At the conclusion, the study is summarized, the results are examined, and suggestions are made for continued research.
Department of Computer Science
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7

Hobson, Adrian Surveying &amp Spatial Information Systems Faculty of Engineering UNSW. "Digital plan lodgement and dissemination." Awarded by:University of New South Wales. School of Surveying and Spatial Information Systems, 2004. http://handle.unsw.edu.au/1959.4/24231.

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In Australia, in recent years there has been increasing demand for more streamlined lodgement of cadastral plans and for their later dissemination. There are a number of approaches to meeting this demand, one of which is developed in detail in this dissertation. The current status of digital lodgement and Digital Cadastral Databases (DCDB) throughout Australia and New Zealand is reviewed. Each of the states and territories in Australia and also New Zealand are examined, looking at the process involved in the lodgement of survey plans and the state of the DCDB in each jurisdiction. From this examination the key issues in digital lodgement and dissemination are extracted and a needs analysis for an Australia-wide generic system is carried out. This needs analysis is directed at technological change allied with sound cadastral principles. Extensible Markup Language (XML) is considered for the storage and transport of all the required data and to facilitate the dissemination of information over the Internet. The benefits of using XML are comprehensive, leading to its selection and the use of related technologies LandXML, Extensible Structured Query Language (XSQL) and Extensible Stylesheet Language (XSL). Vector graphics are introduced as the means to display plans and maps on the Internet. A number of vector standards and Web mapping solutions are compared to determine the most suitable for this project. A new standard developed by the World Wide Web Consortium (W3C), Scalable Vector Graphics (SVG), is chosen. A prototype Web interface and the underlying database and Web server were developed using Oracle as the database and Apache as the Web server. Each aspect of the development is described, starting with the installation and configuration of the database, the Web server and the XSQL servlet. Testing was undertaken using LandXML cadastral data and displaying plans using SVG. Both Internet Explorer and Mozilla were trialled as the Web browser, with Mozilla being chosen because of incompatibilities between Internet Explorer, LandXML and SVG. An operational pilot was created. At this stage it requires manual intervention to centre and maximise a plan in the display area. The result indicates that an automated system is feasible and this dissertation provides a basis for further development by Australian land administration organisations.
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8

Sullivan, Kevin Michael. "An image delta compression tool: IDelta." CSUSB ScholarWorks, 2004. https://scholarworks.lib.csusb.edu/etd-project/2543.

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The purpose of this thesis is to present a modified version of the algorithm used in the open source differencing tool zdelta, entitled "iDelta". This algorithm will manage file data and will be built specifically to difference images in the Photoshop file format.
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Kim, Jongwoo. "A robust hough transform based on validity /." free to MU campus, to others for purchase, 1997. http://wwwlib.umi.com/cr/mo/fullcit?p9842545.

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King, Kraig. "Linking Moving Object Databases with Ontologies." Fogler Library, University of Maine, 2007. http://www.library.umaine.edu/theses/pdf/KingK2007.pdf.

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Книги з теми "Image processing programs"

1

Thompson, Clay M. Image processing toolbox. Natick, Mass: MathWorks, Inc., 1993.

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2

Glover, Daniel. Subband/transform functions for image processing. [Washington, DC]: National Aeronautics and Space Administration, 1993.

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3

J, Sammon Michael, Seul Michael, and Seul Michael, eds. Practical algorithms for image analysis: Description, examples, programs, and projects. 2nd ed. Cambridge: Cambridge University Press, 2008.

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4

Vaughan, R. A. Image processing using a BBC microcomputer: Some useful programs. Dundee: University of Dundee, 1986.

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Vaughan, R. A. Image processing using a BBC microcomputer: Some useful programs. Dundee: University of Dundee, 1986.

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6

Danilovich, Mazurov Vladimir, ed. Zadachi klassifikat͡sii i ikh programmnoe obespechenie: Paket KVAZAR. Moskva: "Nauka", 1990.

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7

Watson, Kenneth. A 2D FFT filtering program for image processing with examples. [Denver, CO]: U.S. Dept. of the Interior, Geological Survey, 1992.

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8

Paskevich, Valerie F. Rasterizing vector and discrete data with the Woods Hole image processing system software. [Woods Hole, MA]: U.S. Dept. of the Interior, Geological Survey, 1993.

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9

Frank, Pohlmann, MacDonald Brian, Andres Clay, Anglin Steve, Beckner Mark, Buckingham Ewan, Cornell Gary, et al., eds. Beginning Digital Image Processing: Using Free Tools for Photographers. Berkeley, CA: Apress, 2009.

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10

The digital photographer's software guide. Boston: Course Technology, 2009.

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Частини книг з теми "Image processing programs"

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Thonnat, M., S. Moisan, and M. Crubézy. "Experience in Integrating Image Processing Programs." In Lecture Notes in Computer Science, 200–215. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-49256-9_13.

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2

Zingirian, N., and M. Maresca. "Run-Time Support to Register Allocation for Loop Parallelization of Image Processing Programs." In High Performance Computing and Networking, 343–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-45492-6_34.

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3

Eiho, Shigeru, Michiyoshi Kuwahara, and Naoki Asada. "Left ventricular image processing." In Medical Progress through Technology, 101–15. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3361-3_10.

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4

Cotronei, M., and L. Puccio. "Multiwavelets and Image Processing." In Progress in Industrial Mathematics at ECMI 2000, 105–9. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-662-04784-2_13.

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5

Teixeira, Luís, and Teresa Andrade. "Smoothing of MPEG multi-program video coding for packet networks." In Image Analysis and Processing, 117–23. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-63508-4_113.

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Richter, G. M. "The ASAG Program Package for Image Processing." In Astrophotography, 155–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-83268-0_28.

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Freire, Daniela L., André Carlos Ponce de Leon Ferreira de Carvalho, Leonardo Carneiro Feltran, Lara Ayumi Nagamatsu, Kelly Cristina Ramos da Silva, Claudemir Firmino, João Eduardo Ferreira, et al. "Lawsuits Document Images Processing Classification." In Progress in Artificial Intelligence, 41–52. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-16474-3_4.

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Preston, Kendall, and Peter H. Bartels. "Automated Image Processing for Cells and Tissue." In Progress in Medical Imaging, 1–121. New York, NY: Springer New York, 1988. http://dx.doi.org/10.1007/978-1-4612-3866-9_1.

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Mancuso, M. "Image Processing for Digital Still Cameras." In Progress in Industrial Mathematics at ECMI 2000, 96–104. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-662-04784-2_12.

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Mastandrea, Fernando, and Álvaro Pardo. "Processing of Microarray Images." In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 962–69. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10268-4_112.

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Тези доповідей конференцій з теми "Image processing programs"

1

Bunch, Robert M. "Image processing in applied optics educational programs." In SPIE's 1995 International Symposium on Optical Science, Engineering, and Instrumentation. SPIE, 1995. http://dx.doi.org/10.1117/12.224037.

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2

Wilson, Joseph N., and E. J. Riedy. "Efficient SIMD evaluation of image processing programs." In Optical Science, Engineering and Instrumentation '97, edited by Hongchi Shi and Patrick C. Coffield. SPIE, 1997. http://dx.doi.org/10.1117/12.279618.

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Jiang, Chao, Song Huang, and Zhan-wei Hui. "Metamorphic Testing of Image Region Growth Programs in Image Processing Applications." In 2018 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C). IEEE, 2018. http://dx.doi.org/10.1109/qrs-c.2018.00026.

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Nestinger, Stephen S., and Harry H. Cheng. "Interactive Image Processing and Manipulation." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-35741.

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Electronic imaging informatics spans a diverse range of applications. These applications would benefit from an interpretive imaging platform, which allows dynamic manipulation and processing of electronic images. Ch is an embeddable C/C++ interpreter that provides an interpretive platform for C/C++ based scripts and programs. Combining Ch with ImageMagick provides the functionality for rapid development of user defined image manipulation and processing applications and scripts. The presented Ch ImageMagick package provides users with the ability to interpretively execute C code based on the ImageMagick C library. This article describes the integration of ImageMagick and Ch. The use of ImageMagick utilities in Ch scripts for rapid prototyping is illustrated. A Web-based example demonstrates the use of Ch and ImageMagick in C based CGI scripting to facilitate the development of Web-based applications involving image manipulation and processing.
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Adami, Nicola, Riccardo Leonardi, and Pierangelo Migliorati. "Overview of multimodal techniques for the characterization of sport programs." In Visual Communications and Image Processing 2003, edited by Touradj Ebrahimi and Thomas Sikora. SPIE, 2003. http://dx.doi.org/10.1117/12.510136.

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Kozato, Y., and G. P. Otto. "Benchmarking real-life image processing programs in lazy functional languages." In the conference. New York, New York, USA: ACM Press, 1993. http://dx.doi.org/10.1145/165180.165187.

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Birukov, Еlissey Dmitrievich, Boris Khaimovich Barladyan, Evgeny Yurievich Denisov, and Alexey Gennadievich Voloboy. "Implementation of High Dynamic Range Image Processing Module as a Part of Lighting Simulation Software System." In 32nd International Conference on Computer Graphics and Vision. Keldysh Institute of Applied Mathematics, 2022. http://dx.doi.org/10.20948/graphicon-2022-288-296.

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This article describes approaches to implementation of software module for processing of high dynamic range images, as a part of lighting simulation and photorealistic computer graphics software. Lighting simulation software requiresits own image processing application because functionality of existing ones usually is not enough for lighting simulation analysis purposes. Processing and analysis of lighting simulation results usually requires the certain functionality that is absent in many image processing programs. The article describes an application developed by us which contains such functionality related to lighting simulation. At first, it is a dynamic range compression function for displaying images on computer monitors. Besides this, our application includes additional functionality for improving image quality, such as forced desaturation of brightest highlights on the images, and also image filtering for decreasing noise caused by stochastic methods used in simulation. For simulation result analysis it is required to transfer additional data (besides image itself) to the processing module. Such layer-based data structure of high dynamic range image files generated by lighting simulations software is described.
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Bezati, Endri, Marco Mattavelli, and Jorn W. Janneck. "High-level synthesis of dataflow programs for signal processing systems." In 2013 8th International Symposium on Image and Signal Processing and Analysis (ISPA). IEEE, 2013. http://dx.doi.org/10.1109/ispa.2013.6703837.

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Ito, Hideaki, Masaru Shimizu, and Saburou Iida. "Implementing basic image processing programs onto a linearly connected parallel processor." In 2010 5th International Conference on Computer Sciences and Convergence Information Technology (ICCIT 2010). IEEE, 2010. http://dx.doi.org/10.1109/iccit.2010.5711097.

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Wen, Jin. "The Applied Research of Video Image Processing Technology in Athletics Programs." In 2015 International Conference on Advances in Mechanical Engineering and Industrial Informatics. Paris, France: Atlantis Press, 2015. http://dx.doi.org/10.2991/ameii-15.2015.26.

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Звіти організацій з теми "Image processing programs"

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Boehm, Wim, Bruce Draper, and Ross Beveridge. Cameron - Optimized Compilation of Visual Programs for Image Processing on Adaptive Computing Systems (ACS). Fort Belvoir, VA: Defense Technical Information Center, January 2002. http://dx.doi.org/10.21236/ada407678.

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2

Burks, Thomas F., Victor Alchanatis, and Warren Dixon. Enhancement of Sensing Technologies for Selective Tree Fruit Identification and Targeting in Robotic Harvesting Systems. United States Department of Agriculture, October 2009. http://dx.doi.org/10.32747/2009.7591739.bard.

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The proposed project aims to enhance tree fruit identification and targeting for robotic harvesting through the selection of appropriate sensor technology, sensor fusion, and visual servo-control approaches. These technologies will be applicable for apple, orange and grapefruit harvest, although specific sensor wavelengths may vary. The primary challenges are fruit occlusion, light variability, peel color variation with maturity, range to target, and computational requirements of image processing algorithms. There are four major development tasks in original three-year proposed study. First, spectral characteristics in the VIS/NIR (0.4-1.0 micron) will be used in conjunction with thermal data to provide accurate and robust detection of fruit in the tree canopy. Hyper-spectral image pairs will be combined to provide automatic stereo matching for accurate 3D position. Secondly, VIS/NIR/FIR (0.4-15.0 micron) spectral sensor technology will be evaluated for potential in-field on-the-tree grading of surface defect, maturity and size for selective fruit harvest. Thirdly, new adaptive Lyapunov-basedHBVS (homography-based visual servo) methods to compensate for camera uncertainty, distortion effects, and provide range to target from a single camera will be developed, simulated, and implemented on a camera testbed to prove concept. HBVS methods coupled with imagespace navigation will be implemented to provide robust target tracking. And finally, harvesting test will be conducted on the developed technologies using the University of Florida harvesting manipulator test bed. During the course of the project it was determined that the second objective was overly ambitious for the project period and effort was directed toward the other objectives. The results reflect the synergistic efforts of the three principals. The USA team has focused on citrus based approaches while the Israeli counterpart has focused on apples. The USA team has improved visual servo control through the use of a statistical-based range estimate and homography. The results have been promising as long as the target is visible. In addition, the USA team has developed improved fruit detection algorithms that are robust under light variation and can localize fruit centers for partially occluded fruit. Additionally, algorithms have been developed to fuse thermal and visible spectrum image prior to segmentation in order to evaluate the potential improvements in fruit detection. Lastly, the USA team has developed a multispectral detection approach which demonstrated fruit detection levels above 90% of non-occluded fruit. The Israel team has focused on image registration and statistical based fruit detection with post-segmentation fusion. The results of all programs have shown significant progress with increased levels of fruit detection over prior art.
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Temple, Dorota S., Jason S. Polly, Meghan Hegarty-Craver, James I. Rineer, Daniel Lapidus, Kemen Austin, Katherine P. Woodward, and Robert H. Beach III. The View From Above: Satellites Inform Decision-Making for Food Security. RTI Press, August 2019. http://dx.doi.org/10.3768/rtipress.2019.rb.0021.1908.

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Despite notable progress in reducing global poverty and hunger in recent decades, about one out of nine people in the world suffers from hunger and malnutrition. Stakeholders charged with making decisions pertaining to agricultural production, development priorities, and policies at a region-to-country scale require quantitative and up-to-date information on the types of crops being cultivated, the acreage under cultivation, and crop yields. However, many low- and middle-income countries lack the infrastructure and resources for frequent and extensive agricultural field surveys to obtain this information. Technology supports a change of paradigm. Traditional methods of obtaining agricultural information through field surveys are increasingly being augmented by images of the Earth acquired through sensors placed on satellites. The continued improvement in the resolution of satellite images, the establishment of open-access infrastructure for processing of the images, and the recent revolutionary progress in artificial intelligence make it feasible to obtain the information at low cost and in near-to-real time. In this brief, we discuss the use of satellite images to provide information about agricultural production in low-income countries, and we comment on research challenges and opportunities. We highlight the near-term potential of the methodology in the context of Rwanda, a country in sub-Saharan Africa whose government has recognized early the value of information technology in its strategic planning for food security and sustainability.
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