Quantum Inspired Meta-Heuristics for Image Analysis
Dey, Sandip
Sold by Buchpark, Trebbin, Germany
AbeBooks Seller since 30 September 2021
Used - Hardcover
Condition: Hervorragend
Ships from Germany to U.S.A.
Quantity: 2 available
Add to basketSold by Buchpark, Trebbin, Germany
AbeBooks Seller since 30 September 2021
Condition: Hervorragend
Quantity: 2 available
Add to basketZustand: Hervorragend | Seiten: 376 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
Seller Inventory # 34063713/1
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.
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.
SANDIP DEY, PHD, is an Associate Professor and Chair in the department of Computer Science & Engineering at the Global Institute of Management and Technology, Krishnanagar, Nadia, West Bengal, India.
SIDDHARTHA BHATTACHARYYA, PHD, is the Principal of RCC Institute of Information Technology, Kolkata, India.
UJJWAL MAULIK, PHD, is the Chair of and Professor in the Department of Computer Science and Engineering, Jadavpur University, Kolkata, India.
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