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 photo Processing: A Computational Intelligence Perspective offers an authoritative and certain account of computational intelligence (CI) equipment and algorithms for adaptive snapshot processing in regularization, area detection, and early imaginative and prescient.
With 3 new chapters and up to date info all through, the hot version of this well known reference comprises large new fabric that makes a speciality of purposes of complex CI concepts in photograph processing functions. 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 photo processing, together with low-level snapshot processing, visible content material research, characteristic extraction, and trend recognition.
Emphasizing advancements in state of the art CI options, equivalent to content-based snapshot retrieval, this e-book keeps to supply educators, scholars, researchers, engineers, and technical managers in visible details processing with the updated realizing required to deal with modern demanding situations in photo 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