By Kim-Hui Yap,Ling Guan,Stuart William Perry,Hau San Wong
Illustrating crucial facets 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 particular account of computational intelligence (CI) tools and algorithms for adaptive picture processing in regularization, area detection, and early imaginative and prescient.
With 3 new chapters and up to date info all through, the recent variation of this renowned reference contains gigantic new fabric that makes a speciality of functions of complicated CI recommendations in snapshot processing functions. It introduces new techniques and frameworks that reveal how neural networks, aid vector machines, fuzzy good judgment, 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 cutting-edge CI innovations, equivalent to content-based snapshot retrieval, this booklet maintains to supply educators, scholars, researchers, engineers, and technical managers in visible details processing with the up to date realizing required to handle modern demanding situations in snapshot content material processing and research.
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