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| 049 | _aMAIN | ||
| 100 | 1 |
_aDey, Sandip, _d1977- |
|
| 245 | 1 | 0 |
_aQuantum inspired meta-heuristics for image analysis _h[electronic resource] / _cSandip Dey, Siddhartha Bhattacharyya, Ujjwal Maulik. |
| 264 | 1 |
_aHoboken, NJ : _bJohn Wiley & Sons, Inc., _c2019. |
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| 264 | 4 | _c�2019 | |
| 300 | _a1 online resource ( xvi, 358 pages) | ||
| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 504 | _aIncludes bibliographical references and index. | ||
| 588 | _aDescription based on online resource; title from digital title page (viewed on August 14, 2019). | ||
| 520 | _aIntroduces 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-A-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. | ||
| 505 | 0 | _aIntroduction -- 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 | |
| 590 |
_aJohn Wiley and Sons _bWiley Online Library: Complete oBooks |
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| 650 | 0 | _aImage segmentation. | |
| 650 | 0 | _aImage analysis. | |
| 650 | 0 | _aMetaheuristics. | |
| 650 | 0 | _aHeuristic algorithms. | |
| 650 | 6 | _aSegmentation d'image. | |
| 650 | 6 | _aAnalyse d'images. | |
| 650 | 6 | _aM�etaheuristiques. | |
| 650 | 6 | _aAlgorithmes heuristiques. | |
| 650 | 7 |
_aCOMPUTERS / General _2bisacsh |
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| 650 | 7 |
_aHeuristic algorithms _2fast |
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| 650 | 7 |
_aImage analysis _2fast |
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| 650 | 7 |
_aImage segmentation _2fast |
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| 650 | 7 |
_aMetaheuristics _2fast |
|
| 700 | 1 |
_aBhattacharyya, Siddhartha, _d1975- |
|
| 700 | 1 |
_aMaulik, Ujjwal. _0http://id.loc.gov/authorities/names/n2008180067 |
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| 710 | 2 | _aWiley InterScience (Online service) | |
| 758 |
_ihas work: _aQuantum inspired meta-heuristics for image analysis (Text) _1https://id.oclc.org/worldcat/entity/E39PCGxmg8PfmDdhrxKRVrJDmd _4https://id.oclc.org/worldcat/ontology/hasWork |
||
| 776 | 0 | 8 |
_iPrint version: _aDey, Sandip, 1977- author. _tQuantum inspired meta-heuristics for image analysis _dHoboken, NJ : Wiley, 2019 _z9781119488750 _w(DLC) 2019001402 |
| 856 | 4 | 0 | _uhttps://onlinelibrary.wiley.com/doi/book/10.1002/9781119488767 |
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