Soft Computing for Image and Multimedia Data Processing (Record no. 54705)

000 -LEADER
fixed length control field 03707nam a22005295i 4500
001 - CONTROL NUMBER
control field 978-3-642-40255-5
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200421111656.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 131004s2013 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783642402555
-- 978-3-642-40255-5
082 04 - CLASSIFICATION NUMBER
Call Number 006.3
100 1# - AUTHOR NAME
Author Bhattacharyya, Siddhartha.
245 10 - TITLE STATEMENT
Title Soft Computing for Image and Multimedia Data Processing
300 ## - PHYSICAL DESCRIPTION
Number of Pages XV, 267 p. 171 illus., 53 illus. in color.
505 0# - FORMATTED CONTENTS NOTE
Remark 2 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.
520 ## - SUMMARY, ETC.
Summary, etc 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.
700 1# - AUTHOR 2
Author 2 Maulik, Ujjwal.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-642-40255-5
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Berlin, Heidelberg :
-- Springer Berlin Heidelberg :
-- Imprint: Springer,
-- 2013.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer science.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Data mining.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Image processing.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational intelligence.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer Science.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial Intelligence (incl. Robotics).
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Image Processing and Computer Vision.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational Intelligence.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Data Mining and Knowledge Discovery.
912 ## -
-- ZDB-2-SCS

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