By Kim-Hui Yap,Ling Guan,Stuart William Perry,Hau San Wong
Illustrating crucial facets of adaptive snapshot processing from a computational intelligence perspective, the second one variation of Adaptive picture Processing: A Computational Intelligence Perspective offers an authoritative and distinctive 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 recent variation of this renowned reference contains big new fabric that specializes in purposes of complicated CI recommendations in snapshot processing functions. It introduces new suggestions and frameworks that show how neural networks, help vector machines, fuzzy common sense, and evolutionary algorithms can be utilized to deal with new demanding situations in photograph processing, together with low-level picture processing, visible content material research, function extraction, and trend recognition.
Emphasizing advancements in state of the art CI ideas, equivalent to content-based snapshot retrieval, this booklet maintains to supply educators, scholars, researchers, engineers, and technical managers in visible details processing with the up to date realizing required to deal with modern demanding situations in snapshot content material processing and research.
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