Quantum inspired meta-heuristics for image analysis (Record no. 69019)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 04895cam a2200721 i 4500 |
| 001 - CONTROL NUMBER | |
| control field | on1083673341 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20220711203500.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 190126t20192019njua ob 001 0 eng c |
| 019 ## - | |
| -- | 1104796068 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781119488781 |
| -- | electronic book |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 1119488788 |
| -- | electronic book |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781119488774 |
| -- | electronic book |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 111948877X |
| -- | electronic book |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| -- | hardcover |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| -- | hardcover |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781119488767 |
| -- | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 1119488761 |
| -- | (electronic bk.) |
| 029 1# - (OCLC) | |
| OCLC library identifier | CHNEW |
| System control number | 001055885 |
| 029 1# - (OCLC) | |
| OCLC library identifier | CHVBK |
| System control number | 568742915 |
| 029 1# - (OCLC) | |
| OCLC library identifier | AU@ |
| System control number | 000065375673 |
| 082 00 - CLASSIFICATION NUMBER | |
| Call Number | 006.4/2015181 |
| 100 1# - AUTHOR NAME | |
| Author | Dey, Sandip, |
| 245 10 - TITLE STATEMENT | |
| Title | Quantum inspired meta-heuristics for image analysis |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | 1 online resource ( xvi, 358 pages) |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | 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-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. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Bhattacharyya, Siddhartha, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Maulik, Ujjwal. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://doi.org/10.1002/9781119488767 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Hoboken, NJ : |
| -- | John Wiley & Sons, Inc., |
| -- | 2019. |
| 264 #4 - | |
| -- | ©2019 |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 588 ## - | |
| -- | Description based on online resource; title from digital title page (viewed on August 14, 2019). |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Image segmentation. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Image analysis. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Metaheuristics. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Heuristic algorithms. |
| 650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | COMPUTERS / General |
| 650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Heuristic algorithms. |
| -- | (OCoLC)fst01749726 |
| 650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Image analysis. |
| -- | (OCoLC)fst00967482 |
| 650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Image segmentation. |
| -- | (OCoLC)fst01909702 |
| 650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Metaheuristics. |
| -- | (OCoLC)fst02000551 |
| 700 1# - AUTHOR 2 | |
| -- | http://id.loc.gov/authorities/names/n2008180067 |
| 994 ## - | |
| -- | 92 |
| -- | DG1 |
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