By Kim-Hui Yap,Ling Guan,Stuart William Perry,Hau San Wong
Illustrating crucial points of adaptive photograph processing from a computational intelligence point of view, the second one variation of Adaptive picture Processing: A Computational Intelligence Perspective presents an authoritative and precise account of computational intelligence (CI) equipment and algorithms for adaptive photograph processing in regularization, side detection, and early imaginative and prescient.
With 3 new chapters and up to date details all through, the recent variation of this well known reference contains gigantic new fabric that makes a speciality of functions of complex CI strategies in photo processing functions. It introduces new strategies and frameworks that reveal how neural networks, aid vector machines, fuzzy common sense, and evolutionary algorithms can be utilized to handle new demanding situations in photograph processing, together with low-level snapshot processing, visible content material research, characteristic extraction, and development recognition.
Emphasizing advancements in state of the art CI options, corresponding to content-based picture retrieval, this booklet maintains to supply educators, scholars, researchers, engineers, and technical managers in visible info processing with the updated figuring out required to deal with modern demanding situations in snapshot 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