This handy desktop reference gathers together into one easy-to-use volume the most popular image processing algorithms. Designed to be used at the computer terminal, it features an illustrated, annotated dictionary format – with clear, concise definitions, examples, and C program code. KEY TOPICS: Covers algorithms for adaptive filters, coding and compression, color image processing, histogram operations, image fundamentals, mensuration, morphological filters, nonlinear filters, segmentation, spatial filters, spatial frequency filters, storage formats, and transforms. Includes graphic oriented techniques such as warping, morphing, zooming, and dithering. Provides algorithms for image noise generation. MARKETS: For users and developers of image processing systems and programs.
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The programmer is often found surrounded by a library of texts, loaded with formulas and mathematically described algorithms. In this book we have tried to bring within a single, desktop friendly cover--in a simple, easy to use format --the most popular of the vast ensemble of image processing algorithms.
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