Bhattacharyya, Siddhartha

Quantum Inspired Meta-heuristics for Image Analysis

Bhattacharyya, Siddhartha - Quantum Inspired Meta-heuristics for Image Analysis, e-kirja


E-kirja, ePUB, Adobe DRM-suojattu
ISBN: 9781119488781

Tulostus113 sivua ja lisä sivu kertyy joka 7. tunti, ylärajana 113 sivua
Kopioi leikepöydälle5 poimintoa

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.


image analysis; quantum meta-heuristics; quantum computing; image processing; video processing; intelligent systems; image thresholding; quantum computing; meta-heuristics; thresholding algorithms; heuristics; computer science

, Intelligent Systems & Agents, Quantum Computing, Intelligent Systems & Agents, Quantum Computing
John Wiley and Sons, Inc.
376 sivua
Painetun ISBN

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