Description

Illustrating essential aspects of adaptive image processing from a computational intelligence viewpoint, the second edition of Adaptive Image Processing: A Computational Intelligence Perspective provides an authoritative and detailed account of computational intelligence (CI) methods and algorithms for adaptive image processing in regularization, edge detection, and early vision. With three new chapters and updated information throughout, the new edition of this popular reference includes substantial new material that focuses on applications of advanced CI techniques in image processing applications. It introduces new concepts and frameworks that demonstrate how neural networks, support vector machines, fuzzy logic, and evolutionary algorithms can be used to address new challenges in image processing, including low-level image processing, visual content analysis, feature extraction, and pattern recognition.


Key Features:-

  • A new chapter on a family of unsupervised algorithms with a basis in self-organization yet somewhat
  • New material on recent challenges in image content analysis and classification, including small samp
  • A new technique in visual query processing and visualization in 2D space
  • New experiments and updates on perceptual error-based restoration

More Details about Adaptive Image Processing: A Computational Intelligence Perspective, 2Nd Edition

General Information  
Author(s)YAP KIM HUI ET AL
PublisherCrc Press
Edition2
ISBN9781420084351
Pages362
BindingHardcover
LanguageEnglish
Publish YearJanuary 2010