Soft Computing for Image and Multimedia Data Processing / by Siddhartha Bhattacharyya, Ujjwal Maulik.

Format:

Book

Author/Creator:

Bhattacharyya, Siddhartha, 1975- author.

Maulik, Ujjwal, author.

Contributor:

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Language:

English

Subjects (All):

Artificial intelligence.

Optical data processing.

Computational intelligence.

Data mining.

Artificial Intelligence.

Image Processing and Computer Vision.

Computational Intelligence.

Data Mining and Knowledge Discovery.

Local Subjects:

Artificial Intelligence.

Image Processing and Computer Vision.

Computational Intelligence.

Data Mining and Knowledge Discovery.

Physical Description:

1 online resource (XV, 267 pages) : 171 illustrations, 53 illustrations in color

Edition:

First edition 2013.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.

System Details:

text file PDF

Summary:

Proper analysis of image and multimedia data requires efficient extraction and segmentation techniques. Among the many computational intelligence approaches, the soft computing paradigm is best equipped with several tools and techniques that incorporate intelligent concepts and principles. This book is dedicated to object extraction, image segmentation, and edge detection using soft computing techniques with extensive real-life application to image and multimedia data. The authors start with a comprehensive tutorial on the basics of brain structure and learning, and then the key soft computing techniques, including evolutionary computation, neural networks, fuzzy sets and fuzzy logic, and rough sets. They then present seven chapters that detail the application of representative techniques to complex image processing tasks such as image recognition, lighting control, target tracking, object extraction, and edge detection. These chapters follow a structured approach with detailed explanations of the problems, solutions, results, and conclusions. This is both a standalone textbook for graduates in computer science, electrical engineering, system science, and information technology, and a reference for researchers and engineers engaged with pattern recognition, image processing, and soft computing.

Contents:

Chap. 1 Introduction

Chap. 2 Transformation-Invariant Image Recognition Using Multilayer Perceptron

Chap. 3 Energy Efficient Intelligent Lighting Control Using a Multilayer Perceptron

Chap. 4 Target Tracking Using Fuzzy Hostility Induced Segmentation of Optical Flow Field

Chap. 5 Binary Object Extraction by Bidirectional Self-organizing Neural Network Architecture

Chap. 6 Multilevel Object Extraction by BDSONN Architecture

Chap. 7 Color Object Extraction by Parallel BDSONN Architecture

Chap. 8 Gray-Scale Image Edge Detection Using Rough Sets

References

Index.

Other Format:

Printed edition:

ISBN:

978-3-642-40255-5

9783642402555

Access Restriction:

Restricted for use by site license.