By Kim-Hui Yap,Ling Guan,Stuart William Perry,Hau San Wong
Illustrating crucial points of adaptive picture processing from a computational intelligence standpoint, the second one variation of Adaptive photo Processing: A Computational Intelligence Perspective presents an authoritative and special account of computational intelligence (CI) tools and algorithms for adaptive photograph processing in regularization, facet detection, and early imaginative and prescient.
With 3 new chapters and up-to-date details all through, the hot version of this renowned reference comprises mammoth new fabric that specializes in functions of complicated CI concepts in snapshot processing purposes. It introduces new techniques and frameworks that reveal how neural networks, aid vector machines, fuzzy common sense, and evolutionary algorithms can be utilized to deal with new demanding situations in photograph processing, together with low-level photo processing, visible content material research, function extraction, and development recognition.
Emphasizing advancements in cutting-edge CI strategies, reminiscent of content-based photo retrieval, this booklet maintains to supply educators, scholars, researchers, engineers, and technical managers in visible info processing with the up to date figuring out required to handle modern demanding situations in photograph content material processing and research.
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Extra resources for Adaptive Image Processing: A Computational Intelligence Perspective, Second Edition (Image Processing Series)
Adaptive Image Processing: A Computational Intelligence Perspective, Second Edition (Image Processing Series) by Kim-Hui Yap,Ling Guan,Stuart William Perry,Hau San Wong