Multilevel image thresholding by nature-inspired algorithms: A short review
Nondeterministic metaheuristic optimization and digital image processing are two very different research fields, both extremely active and applicable. They touch in a very limited area, but that narrow interaction opens new very promising applications for digital image processing and new and differe...
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| Format: | Article |
| Language: | English |
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Vladimir Andrunachievici Institute of Mathematics and Computer Science
2014-11-01
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| Series: | Computer Science Journal of Moldova |
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| Online Access: | http://www.math.md/files/csjm/v22-n3/v22-n3-(pp318-338).pdf |
| _version_ | 1811306933788868608 |
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| author | Milan Tuba |
| author_facet | Milan Tuba |
| author_sort | Milan Tuba |
| collection | DOAJ |
| description | Nondeterministic metaheuristic optimization and digital image processing are two very different research fields, both extremely active and applicable. They touch in a very limited area, but that narrow interaction opens new very promising applications for digital image processing and new and different deployment of metaheuristic optimization. Multilevel image thresholding is very important for image segmentation, which in turn is crucial for higher level image analysis. The problem includes exponential combinatorial optimization with complex objective functions which are solvable only by nondeterministic methods. This short review presents successful applications of the nature-inspired metaheuristics to multilevel image thresholding. |
| first_indexed | 2024-04-13T08:54:34Z |
| format | Article |
| id | doaj.art-82fec3a1e54f49a99f891cfe881f2ae8 |
| institution | Directory Open Access Journal |
| issn | 1561-4042 |
| language | English |
| last_indexed | 2024-04-13T08:54:34Z |
| publishDate | 2014-11-01 |
| publisher | Vladimir Andrunachievici Institute of Mathematics and Computer Science |
| record_format | Article |
| series | Computer Science Journal of Moldova |
| spelling | doaj.art-82fec3a1e54f49a99f891cfe881f2ae82022-12-22T02:53:20ZengVladimir Andrunachievici Institute of Mathematics and Computer ScienceComputer Science Journal of Moldova1561-40422014-11-01223(66)318338Multilevel image thresholding by nature-inspired algorithms: A short reviewMilan Tuba0Faculty of Mathematics, University of Belgrade, Studentski trg 16, 11000 Belgrade, Serbia; Faculty of Computer Science, Megatrend University, Bulevar umetnosti 29, 11070 Belgrade, SerbiaNondeterministic metaheuristic optimization and digital image processing are two very different research fields, both extremely active and applicable. They touch in a very limited area, but that narrow interaction opens new very promising applications for digital image processing and new and different deployment of metaheuristic optimization. Multilevel image thresholding is very important for image segmentation, which in turn is crucial for higher level image analysis. The problem includes exponential combinatorial optimization with complex objective functions which are solvable only by nondeterministic methods. This short review presents successful applications of the nature-inspired metaheuristics to multilevel image thresholding.http://www.math.md/files/csjm/v22-n3/v22-n3-(pp318-338).pdfDigital image processingmultilevel thresholdingswarm intelligencemetaheuristic optimization |
| spellingShingle | Milan Tuba Multilevel image thresholding by nature-inspired algorithms: A short review Computer Science Journal of Moldova Digital image processing multilevel thresholding swarm intelligence metaheuristic optimization |
| title | Multilevel image thresholding by nature-inspired algorithms: A short review |
| title_full | Multilevel image thresholding by nature-inspired algorithms: A short review |
| title_fullStr | Multilevel image thresholding by nature-inspired algorithms: A short review |
| title_full_unstemmed | Multilevel image thresholding by nature-inspired algorithms: A short review |
| title_short | Multilevel image thresholding by nature-inspired algorithms: A short review |
| title_sort | multilevel image thresholding by nature inspired algorithms a short review |
| topic | Digital image processing multilevel thresholding swarm intelligence metaheuristic optimization |
| url | http://www.math.md/files/csjm/v22-n3/v22-n3-(pp318-338).pdf |
| work_keys_str_mv | AT milantuba multilevelimagethresholdingbynatureinspiredalgorithmsashortreview |