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Quantum inspired meta-heuristics for image analysis (Record no. 560917)

MARC details
000 -LEADER
fixed length control field 02741 a2200229 4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781119488750
040 ## - CATALOGING SOURCE
Transcribing agency IIT Kanpur
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.42015181
Item number D53q
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name Dey, Sandip
245 ## - TITLE STATEMENT
Title Quantum inspired meta-heuristics for image analysis
Statement of responsibility, etc Sandip Dey, Siddhartha Bhattacharyya, and Ujjwal Maulik
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher John Wiley
Year of publication 2019
Place of publication New Jersey
300 ## - PHYSICAL DESCRIPTION
Number of Pages xvi, 358p
520 ## - SUMMARY, ETC.
Summary, etc Introduces quantum inspired techniques for image analysis for pure and true gray scale/color images in a single/multi-objective environment<br/><br/>This book will entice readers to design efficient meta-heuristics for image analysis in the quantum domain. It introduces them to the essence of quantum computing paradigm, its features, and properties, and elaborates on the fundamentals of different meta-heuristics and their application to image analysis. As a result, it will pave the way for designing and developing quantum computing inspired meta-heuristics to be applied to image analysis.<br/><br/>Quantum Inspired Meta-heuristics for Image Analysis begins with a brief summary on image segmentation, quantum computing, and optimization. It also highlights a few relevant applications of the quantum based computing algorithms, meta-heuristics approach, and several thresholding algorithms in vogue. Next, it discusses a review of image analysis before moving on to an overview of six popular meta-heuristics and their algorithms and pseudo-codes. Subsequent chapters look at quantum inspired meta-heuristics for bi-level and gray scale multi-level image thresholding; quantum behaved meta-heuristics for true color multi-level image thresholding; and quantum inspired multi-objective algorithms for gray scale multi-level image thresholding. Each chapter concludes with a summary and sample questions.<br/>Provides in-depth analysis of quantum mechanical principles<br/>Offers comprehensive review of image analysis<br/>Analyzes different state-of-the-art image thresholding approaches<br/>Detailed current, popular standard meta-heuristics in use today<br/>Guides readers step by step in the build-up of quantum inspired meta-heuristics<br/>Includes a plethora of real life case studies and applications<br/>Features statistical test analysis of the performances of the quantum inspired meta-heuristics vis-à-vis their conventional counterparts<br/>Quantum Inspired Meta-heuristics for Image Analysis is an excellent source of information for anyone working with or learning quantum inspired meta-heuristics for image analysis.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Heuristic algorithms
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Metaheuristics
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Image analysis
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Image segmentation
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Bhattacharyya, Siddhartha
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Maulik, Ujjwal
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Holdings
Withdrawn status Lost status Damaged status Not for loan Collection code Home library Current library Date acquired Source of acquisition Cost, normal purchase price Full call number Accession Number Cost, replacement price Koha item type
        General Stacks PK Kelkar Library, IIT Kanpur PK Kelkar Library, IIT Kanpur 18/11/2019 2 7974.78 006.42015181 D53q A184941 9968.48 Books

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