Description: Quantum Inspired Meta-heuristics for Image AnalysisAuthor(s): Sandip Dey, Siddhartha Bhattacharyya, Ujjwal Maulik Format: Hardback Publisher: John Wiley & Sons Inc, United States Imprint: John Wiley & Sons Inc ISBN-13: 9781119488750, 978-1119488750 Synopsis 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 information for anyone working with or learning quantum inspired meta-heuristics for image analysis.
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Book Title: Quantum Inspired Meta-heuristics for Image Analysis
Number of Pages: 376 Pages
Language: English
Publication Name: Quantum Inspired Meta-Heuristics for Image Analysis
Publisher: John Wiley & Sons AND Sons LTD
Publication Year: 2019
Subject: Engineering & Technology
Item Height: 252 mm
Item Weight: 726 g
Type: Textbook
Author: Sandip Dey, Siddhartha Bhattacharyya, Ujjwal Maulik
Series: No Longer Used
Item Width: 171 mm
Format: Hardcover
