Quantum Inspired Meta-heuristics for Image Analysis
| By: | Sandip Dey |
| Publisher: | Wiley Global Research (STMS) |
| Print ISBN: | 9781119488750 |
| eText ISBN: | 9781119488781 |
| Edition: | 1 |
| Copyright: | 2019 |
| Format: | Reflowable |
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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.