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Can I read Quantum Inspired Meta-heuristics for Image Analysis (No Longer used) on EtoBox?

Quantum Inspired Meta-heuristics for Image Analysis (No Longer used) by Wiley InterScience (Online service); Bhattacharyya, Siddhartha; Dey, Sandip; Maulik, Ujjwal is a nonfiction available to read on EtoBox.

What is Quantum Inspired Meta-heuristics for Image Analysis (No Longer used) about?

Introduction -- Review of image analysis -- Overview of meta-heuristics -- Quantum inspired meta-heuristics for bi-level image thresholding -- Quantum inspired meta-heuristics for gray-scale multi-level image thresholding -- Quantum behaved meta-heuristics for true color multi-level image thresholding -- Quantum inspired multi-objective algorithms for multi-level image thresholding -- Conclusion -- Bibliography -- Index -- EULA;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 applica

Who reads Quantum Inspired Meta-heuristics for Image Analysis (No Longer used)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Wiley InterScience (Online service); Bhattacharyya, Siddhartha; Dey, Sandip; Maulik, Ujjwal
Publisher
John Wiley & Sons, Incorporated
Published
2019
Language
EN
ISBN
9782019004057
Category
nonfiction
Subjects
Engineering, Computer Science, Programming

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