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Titlebook: Radon and Projection Transform-Based Computer Vision; Algorithms, A Pipeli Jorge L. C. Sanz,Eric B. Hinkle,Anil K. Jain Textbook 1988 Sprin

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书目名称Radon and Projection Transform-Based Computer Vision
副标题Algorithms, A Pipeli
编辑Jorge L. C. Sanz,Eric B. Hinkle,Anil K. Jain
视频video
丛书名称Springer Series in Information Sciences
图书封面Titlebook: Radon and Projection Transform-Based Computer Vision; Algorithms, A Pipeli Jorge L. C. Sanz,Eric B. Hinkle,Anil K. Jain Textbook 1988 Sprin
描述This book deals with novel machine vision architecture ideas that make real-time projection-based algorithms a reality. The design is founded on raster-mode processing, which is exploited in a powerful and flexible pipeline. We concern ourselves with several image analysis algorithms for computing: projections of gray-level images along linear patterns (i. e. , the Radon transform) and other curved contours; convex hull approximations; the Hough transform for line and curve detection; diameters; moments and principal components, etc. Addition­ ally, we deal with an extensive list of key image processing tasks, which involve generating: discrete approximations of the inverse Radon transform operator; computer tomography reconstructions; two-dimensional convolutions; rotations and translations; multi-color digital masks; the discrete Fourier transform in polar coordinates; autocorrelations, etc. Both the image analysis and image processing algorithms are supported by a similar architecture. We will also of some of the above algorithms to the solution of demonstrate the applicability various industrial visual inspection problems. The algorithms and architectural ideas surveyed here un
出版日期Textbook 1988
关键词Hough transform; Radon transform; algorithms; computer vision; image analysis; image processing; machine v
版次1
doihttps://doi.org/10.1007/978-3-642-73012-2
isbn_softcover978-3-642-73014-6
isbn_ebook978-3-642-73012-2Series ISSN 0720-678X
issn_series 0720-678X
copyrightSpringer-Verlag Berlin Heidelberg 1988
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Model and Computation of Digital Projections,rom the origin. Note that in terms of . and ., . cos. sin.. The two-dimensional function P.(.) is also the definition of the Radon transform of .(.,.) [Helg80]. If we want to generate “digital” projection data, i.e., discrete projection data from a digital image ., we must consider a digital approxi
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