Kim-Hui Yap, Ling Guan, Stuart William Perry

Adaptive Image Processing

A Computational Intelligence Perspective

• Gebundenes Buch

Produktbeschreibung

Adaptive image processing is one of the most important techniques in visual information processing, especially in early vision such as image restoration, filtering, enhancement, and segmentation. While existing books present some aspects of this important issue, there is not a single book that treats this problem from a purely computational intelligence (CI) viewpoint. With three new chapters and numerous updates throughout, this second edition includes substantial new material that focuses on applications of advanced CI techniques in image processing applications. It emphasizes developments in state-of-the-art CI techniques, such as CBIR.

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Produktdetails

• Verlag: Taylor & Francis Ltd (Sales)
• 2nd edition
• Seitenzahl: 376
• Erscheinungstermin: 1. Dezember 2009
• Englisch
• Abmessung: 242mm x 165mm x 30mm
• Gewicht: 661g
• ISBN-13: 9781420084351
• ISBN-10: 1420084356
• Artikelnr.: 23609725

Autorenporträt

Kim-Hui Yap, Ling Guan, Stuart William Perry, San Hau Wong

Inhaltsangabe

Introduction. Fundamentals of CI-Inspired Adaptive Image Restoration.
Spatially Adaptive Image Restoration. Adaptive Regularization Using
Evolutionary Computation. Blind Image Deconvolution. Edge Detection Using
Model-Based Neural Networks. Image Analysis and Retrieval via
Self-Organization. Genetic Optimization of Feature Representation for
Compressed-Domain Image Categorization. Content-Based Image Retrieval Using
Computational Intelligence Techniques.