Quantum inspired meta-heuristics for image analysis/

Introduces quantum inspired techniques for image analysis for pure and true gray scale/color images in a single/multi-objective environment 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 computi...

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Bibliographic Details
Main Authors: Dey, Sandip, 1977-
Corporate Authors: Wiley Online Library (Online service)
Group Author: Bhattacharyya, Siddhartha, 1975-; Maulik, Ujjwal
Published: Wiley,
Publisher Address: Hoboken, NJ :
Publication Dates: 2019.
Literature type: eBook
Language: English
Subjects:
Online Access: https://onlinelibrary.wiley.com/doi/book/10.1002/9781119488767
Summary: Introduces quantum inspired techniques for image analysis for pure and true gray scale/color images in a single/multi-objective environment 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. 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. -Provides in-depth analysis of quantum mechanical principles -Offers comprehensive review of image analysis -Analyzes different state-of-the-art image thresholding approaches -Detailed current, popular standard meta-heuristics in use today -Guides readers step by step in the build-up of quantum inspired meta-heuristics -Includes a plethora of real life case studies and applications -Features statistical test analysis of the performances of the quantum inspired meta-heuristics vis-A-vis their conventional counterparts Quantum Inspired Meta-heuristics for Image Analysis is an excellent source of infor
Item Description: Description based on print version record.
Carrier Form: 1 online resource (xii, 358 pages) : illustrations
Also available in print.
Bibliography: Includes bibliographical references and index.
ISBN: 9781119488767
1119488761
9781119488774
1119488788
9781119488781
9781119488750
Index Number: TA1638
CLC: TP391.41