Soft Computing for Image Processing

by Pal, Sankar K.; Ghosh, Ashish; Kundu, Malay K.

• ISBN13: 9783790812688
• ISBN10: 3790812684
• Format: Hardcover
• Copyright: 2000-02-01
• Publisher: Physica Verlag

Summary

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.

Table of Contents

Foreword	vii
Preface	ix
Soft Computing and Image Analysis: Features, Relevance and Hybridization	1	(22)
S. K. Pal
A. Ghosh
M. K. Kundu
Part 1. Preprocessing and Feature Extraction
Image Filtering Using Evolutionary Neural Fuzzy Systems	23	(21)
F. Russo
Edge Extraction Using Fuzzy Reasoning	44	(35)
T. Law
K. Yamada
D. Shibata
T. Nakamura
L. He
H. Itoh
Image Compression and Edge Extraction Using Fractal Technique and Genetic Algorithm	79	(22)
S. K. Mitra
C. A. Murthy
M. K. Kundu
Adaptive Clustering for Efficient Segmentation and Vector Quantization of Images	101	(29)
S. Mitra
R. Castellanos
S.-Y. Yang
S. Pemmaraju
On Fuzzy Thresholding of Remotely Sensed Images	130	(32)
B. Uma Shankar
A. Ghosh
S. K. Pal
Image Compression Using Pixel Neural Networks	162	(21)
W. Skarbek
Genetic Algorithm and Fuzzy Reasoning for Digital Image Compression Using Triangular Plane Patches	183	(22)
L. He
Y. Chao
T. Nakamura
H. Itoh
Compression of Digital Mammograms Using Wavelets and Fuzzy Algorithms for Learning Vector Quantization	205	(41)
N. B. Karayiannis
T. C. Wang
Soft Computing and Image Analysis	246	(14)
V. D. Gesu
Fuzzy Interpretation of Image Data	260	(39)
J. H. Han
T. Y. Kim
L. T. Koczy
Part 2. Classification
New Pattern Recognition Tools Based on Fuzzy Logic for Image Understanding	299	(19)
M. Grabisch
Adaptive, Evolving, Hybrid Connectionist Systems for Image Pattern Recognition	318	(19)
N. K. Kasabov
S. I. Israel
B. J. Woodford
Neuro-Fuzzy Computing: Structure, Performance Measure and Applications	337	(38)
P. A. Stadter
N. K. Bose
Knowledge Reuse Mechanisms for Categorizing Related Image Sets	375	(26)
K. D. Bollacker
J. Ghosh
Symbolic Data Analysis for Image Processing	401	(30)
K. C. Gowda
P. Nagabhushan
H. N. Srikanta Prakash
Part 3. Applications
The Use of Artificial Neural Networks for Automatic Target Recognition	431	(42)
N. M. Nasrabadi
S. Der
L.-C. Wang
S. Rizvi
A. Chan
Hybrid Systems for Facial Analysis and Processing Tasks	473	(34)
S. Gutta
H. Wechsler
Handwritten Digit Recognition Using Soft Computing Tools	507	(18)
V. Susheela Devi
M. Narasimha Murty
Neural Systems for Motion Analysis: Single Neuron and Network Approaches	525	(27)
T. L. Huntsberger
J. R. Rose
D. Girard
Motion Estimation and Compensation with Neural Fuzzy Systems	552	(37)
H. M. Kim
B. Kosko
About the Editors	589