Quantum Inspired Meta-heuristics for Image Analysis

Sandip Dey, Siddhartha Bhattacharyya, Ujjwal Maulik

• Publisher: Wiley
• Year: 2019
• Print ISBN: 9781119488750
• eBook ISBN: 9781119488781
• Edition: 1
• Topic: Technology & Engineering
• Subtopic: Electrical Engineering & Telecommunications
• Index: Technology & Engineering

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-à-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.

Table of contents

• Cover
• Table of Contents
• Preface
• Acronyms
• 1 Introduction
• 2 Review of Image Analysis
• 3 Overview of Meta‐heuristics
• 4 Quantum Inspired Meta‐heuristics for Bi‐level Image Thresholding
• 5 Quantum Inspired Meta‐Heuristics for Gray‐Scale Multi‐Level Image Thresholding
• 6 Quantum Behaved Meta‐Heuristics for True Color Multi‐Level Image Thresholding
• 7 Quantum Inspired Multi‐objective Algorithms for Multi‐level Image Thresholding
• 8 Conclusion
• Bibliography
• Index
• End User License Agreement