By Kim-Hui Yap,Ling Guan,Stuart William Perry,Hau San Wong
Illustrating crucial elements of adaptive picture 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 picture 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 comprises vast new fabric that makes a speciality of functions of complicated CI strategies in snapshot processing functions. It introduces new recommendations and frameworks that show how neural networks, help vector machines, fuzzy good judgment, and evolutionary algorithms can be utilized to handle new demanding situations in photo processing, together with low-level picture processing, visible content material research, characteristic extraction, and development recognition.
Emphasizing advancements in state of the art CI innovations, corresponding to content-based photograph retrieval, this publication 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 photo content material processing and research.
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Extra info 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