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Author:   Sankar K. Pal ,  Ashish Ghosh ,  Malay K. Kundu
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Physica-Verlag GmbH & Co
Edition:   Softcover reprint of hardcover 1st ed. 2000
Volume:   42
Dimensions:   Width: 15.50cm , Height: 3.10cm , Length: 23.50cm
Weight:   0.926kg
ISBN:  

9783790824681

ISBN 10:   3790824682
Pages:   591
Publication Date:   21 October 2010
Audience:   Professional and scholarly ,  Professional and scholarly ,  Professional & Vocational ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

Soft Computing and Image Analysis : Features, Relevance and Hybridization.- 1. Preprocessing and Feature Extraction.- Image Filtering Using Evolutionary Neural Fuzzy Systems.- Edge Extraction Using Fuzzy Reasoning.- Image Compression and Edge Extraction Using Fractal Technique and Genetic Algorithm.- Adaptive Clustering for Effiicient Segmentation and Vector Quantization of Images.- On Fuzzy Thresholding of Remotely Sensed Images.- Image Compression Using Pixel Neural Networks.- Genetic Algorithm and Fuzzy Reasoning for Digital Image Compression Using Triangular Plane Patches.- Compression of Digital Mammograms Using Wavelets and Fuzzy Algorithms for Learning Vector Quantization.- Soft Computing and Image Analysis.- Fuzzy Interpretation of Image Data.- 2. Classification.- New Pattern Recognition Tools Based on Fuzzy Logic for Image Understanding.- Adaptive, Evolving, Hybrid Connectionist Systems for Image Pattern Recognition.- Neuro-Fuzzy Computing: Structure, Performance Measure and Applications.- Knowledge Reuse Mechanisms for Categorizing Related Image Sets.- Symbolic Data Analysis for Image Processing.- 3. Applications.- The Use of Artificial Neural Networks for Automatic Target Recognition.- Hybrid Systems for Facial Analysis and Processing Tasks.- Handwritten Digit Recognition Using Soft Computing Tools.- Neural Systems for Motion Analysis : Single Neuron and Network Approaches.- Motion Estimation and Compensation with Neural Fuzzy Systems.- About the Editors.

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