Soft Computing for Image Processing

Author:   Sankar K. Pal ,  Ashish Ghosh ,  Malay K. Kundu
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   2000 ed.
Volume:   42
ISBN:  

9783790812688


Pages:   591
Publication Date:   17 February 2000
Format:   Hardback
Availability:   In Print   Availability explained
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Soft Computing for Image Processing


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Overview

The volume provides a collection of 21 articles containing new material and describing, in a unified way with extensive real life applications, the merits and significance of performing different image processing/analysis tasks in soft computing paradigm. The articles, written by leading experts all over the world, demonstrate the various ways the fuzzy logic, artificial neural networks, genetic algorithms and fractals can be used independently and in integrated manner to provide efficient and flexible information processing capabilities in a stronger computational paradigm for handling the tasks like filtering, edge detection, segmentation, compression , classification, motion estimation, character regognition and target identification. Application domain includes, among others, data mining, computer vision, pattern recognition and machine learning, information technology, remote sensing, forensic investigation, video abstraction and knowledge based systems.

Full Product Details

Author:   Sankar K. Pal ,  Ashish Ghosh ,  Malay K. Kundu
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Physica-Verlag GmbH & Co
Edition:   2000 ed.
Volume:   42
Dimensions:   Width: 15.50cm , Height: 3.30cm , Length: 23.50cm
Weight:   1.074kg
ISBN:  

9783790812688


ISBN 10:   3790812684
Pages:   591
Publication Date:   17 February 2000
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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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