By Kim-Hui Yap,Ling Guan,Stuart William Perry,Hau San Wong
Illustrating crucial features of adaptive picture processing from a computational intelligence point of view, the second one version of Adaptive picture Processing: A Computational Intelligence Perspective presents an authoritative and exact account of computational intelligence (CI) equipment and algorithms for adaptive photo processing in regularization, part detection, and early imaginative and prescient.
With 3 new chapters and up-to-date details all through, the hot version of this well known reference contains tremendous new fabric that specializes in functions of complicated CI recommendations in picture processing functions. It introduces new thoughts and frameworks that show how neural networks, help vector machines, fuzzy common sense, and evolutionary algorithms can be utilized to handle new demanding situations in snapshot processing, together with low-level photo processing, visible content material research, characteristic extraction, and trend recognition.
Emphasizing advancements in cutting-edge CI innovations, corresponding to content-based snapshot retrieval, this booklet keeps to supply educators, scholars, researchers, engineers, and technical managers in visible details processing with the up to date knowing required to deal with modern demanding situations in snapshot content material processing and research.
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Additional 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