By Kim-Hui Yap,Ling Guan,Stuart William Perry,Hau San Wong

Illustrating crucial points of adaptive photo processing from a computational intelligence perspective, the second one version of Adaptive photo Processing: A Computational Intelligence Perspective presents an authoritative and targeted account of computational intelligence (CI) tools and algorithms for adaptive photograph processing in regularization, part detection, and early imaginative and prescient.

With 3 new chapters and up to date details all through, the recent version of this well known reference contains sizeable new fabric that makes a speciality of functions of complicated CI recommendations in photograph processing functions. It introduces new suggestions and frameworks that display how neural networks, aid vector machines, fuzzy good judgment, and evolutionary algorithms can be utilized to deal with new demanding situations in snapshot processing, together with low-level photograph processing, visible content material research, function extraction, and development recognition.

Emphasizing advancements in cutting-edge CI strategies, reminiscent of content-based picture retrieval, this publication maintains to supply educators, scholars, researchers, engineers, and technical managers in visible info processing with the updated realizing required to deal with modern demanding situations in picture content material processing and research.

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