By Kim-Hui Yap,Ling Guan,Stuart William Perry,Hau San Wong
Illustrating crucial points of adaptive photo processing from a computational intelligence point of view, the second one version of Adaptive photo Processing: A Computational Intelligence Perspective presents an authoritative and exact account of computational intelligence (CI) tools and algorithms for adaptive picture processing in regularization, part detection, and early imaginative and prescient.
With 3 new chapters and up-to-date info all through, the hot variation of this renowned reference comprises massive new fabric that specializes in functions of complex CI suggestions in snapshot processing purposes. It introduces new strategies and frameworks that reveal how neural networks, help vector machines, fuzzy good judgment, and evolutionary algorithms can be utilized to deal with new demanding situations in photo processing, together with low-level photograph processing, visible content material research, function extraction, and development recognition.
Emphasizing advancements in cutting-edge CI options, equivalent to content-based picture retrieval, this ebook maintains to supply educators, scholars, researchers, engineers, and technical managers in visible details processing with the up to date figuring out required to handle 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