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.
