By Kim-Hui Yap,Ling Guan,Stuart William Perry,Hau San Wong
Illustrating crucial elements of adaptive photograph processing from a computational intelligence point of view, the second one variation of Adaptive photograph Processing: A Computational Intelligence Perspective presents an authoritative and targeted 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 info all through, the recent variation of this renowned reference comprises colossal new fabric that makes a speciality of purposes of complex CI options in photograph processing functions. It introduces new strategies and frameworks that reveal how neural networks, help vector machines, fuzzy good judgment, and evolutionary algorithms can be utilized to handle new demanding situations in picture processing, together with low-level snapshot processing, visible content material research, characteristic extraction, and development recognition.
Emphasizing advancements in state of the art CI recommendations, comparable to content-based photograph retrieval, this publication keeps to supply educators, scholars, researchers, engineers, and technical managers in visible info processing with the up to date knowing required to handle modern demanding situations in photo content material processing and research.
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Extra 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