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Titlebook: Advances in Digital Image Processing; Theory, Application, Peter Stucki Book 1979 Plenum Press, New York 1979 LSI.computer vision.growth.im

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期刊全稱Advances in Digital Image Processing
期刊簡稱Theory, Application,
影響因子2023Peter Stucki
視頻videohttp://file.papertrans.cn/148/147829/147829.mp4
圖書封面Titlebook: Advances in Digital Image Processing; Theory, Application, Peter Stucki Book 1979 Plenum Press, New York 1979 LSI.computer vision.growth.im
影響因子Digital image processing, originally established to analyze and improve lunar images, is rapidly growing into a wealth of new appli- cations, due to the enormous technical progress made in computer engineering. At present, the most important fields of growth appear to emerge in the areas of medical image processing (i. e. tomography, thermography), earth resource inventory (i. e. land usage, minerals), office automation (i. e. document storage, retrieval and reproduction) and industrial production (i. e. computer vision for mechanical ro- bots). Currently, emphasis is being shifted from signal-processing re- search and design-innovation activities towards cost-efficient system implementations for interactive digital image processing. For the years ahead, trends in computer engineering indicate still further advances in Large Scale Integration (LSI) and Input/Output (I/O) technologies allowing the implementation of powerful parallel and/or distributed processor architectures for real-time processing of high- resolution achromatic and color images. In view of the many new developments in the field of digital image processing and recognizing the importance of discussing these developm
Pindex Book 1979
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Image Processing and Computer Graphicsnt debate. Professor Eugene Wigner has sustained me over many years in my work on the conceptual development of mod- ern physics by his kindness and encouragement. This study owes its existence to his direct inspiration, and to his suggestion to me in April 1971 that it would be of interest to write
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The Application of the IPSAS in Spain,the sequence contains spatially very differentiated quantitative information about blood velocity or the filtration function of the kidney, which cannot be extracted in sequential viewing by eye. Thus, it is desirable to use image-processing tools to extract these parameters.
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