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 version of Adaptive photograph Processing: A Computational Intelligence Perspective presents an authoritative and certain account of computational intelligence (CI) tools and algorithms for adaptive snapshot processing in regularization, side detection, and early imaginative and prescient.
With 3 new chapters and up to date details all through, the hot variation of this renowned reference comprises sizeable new fabric that specializes in functions of complicated CI strategies in photo processing purposes. It introduces new thoughts and frameworks that exhibit how neural networks, help vector machines, fuzzy common sense, and evolutionary algorithms can be utilized to deal with new demanding situations in picture processing, together with low-level picture processing, visible content material research, characteristic extraction, and trend recognition.
Emphasizing advancements in cutting-edge CI suggestions, equivalent to content-based picture retrieval, this e-book maintains to supply educators, scholars, researchers, engineers, and technical managers in visible details processing with the updated figuring out required to deal with modern demanding situations in picture 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