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.