Practical Algorithms for Image Analysis with CD-ROM: Description, Examples, and Code
Cambridge University Press, Feb 13, 2000 - Computers - 295 pages
This book offers guided access to a collection of algorithms for the digital manipulation and analysis of images. Written in classic "cookbook" style, it reflects the authors' long experience as users and developers of image analysis algorithms and software. For each task, they present a description and implementation of the most suitable procedure in easy-to-use form. The algorithms range from the simplest steps to advanced functions not commonly available for Windows users. Each self-contained section treats a single operation (histogram evaluation, low-pass filtering, and edge detection, among others). The coverage includes typical situations requiring that operation and then discusses the algorithm and implementation. Sections start with a header illustrating the nature of the procedure through a "before" and "after" pictorial example and a ready-reference that lists typical applications, keywords, and related procedures. Annotated references can be found at the end of each section. An accompanying CD-ROM contains a collection of C programs for carrying out the book's procedures.
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algorithm application average binary image boundary Butterworth filter centroid chain code color computational connected contour convex hull convolution coordinates Copyright corresponding curvature curve default described descriptors dilation discussed edge detection erosion evaluation Figure filter mask Fourier transform frequency domain Gaussian filter geometrical global high-pass filter histogram Hough transform IEEE image analysis image filename TIP Image Processing implementation infile inimg outimg input image filename interpolation iterations length line segments linear low-pass filtering methods module multiresolution multiresolution analysis neighbors noise reduction O'Gorman object operations OPTIONS original image output image filename parameters peak performed Pictorial Example pixel values pixels point pattern polygonal power spectrum print Software License Program reduced References and Further region representation Reprinted with Permission result sampling scan Section 4.3 Seul signal smoothing spatial domain spline structure subsampling thinning threshold topological Typical Application(s USAGE vertical Voronoi diagram Voronoi polygon
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