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 |  |
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 |
doi | https://doi.org/10.1007/978-3-642-73012-2 |
isbn_softcover | 978-3-642-73014-6 |
isbn_ebook | 978-3-642-73012-2Series ISSN 0720-678X |
issn_series | 0720-678X |
copyright | Springer-Verlag Berlin Heidelberg 1988 |