Multilevel image thresholding by nature-inspired algorithms: A short review
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TUBA, Milan. Multilevel image thresholding by nature-inspired algorithms: A short review. In: Computer Science Journal of Moldova. 2014, nr. 3(66), pp. 318-338. ISSN 1561-4042.
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Computer Science Journal of Moldova
Numărul 3(66) / 2014 / ISSN 1561-4042

Multilevel image thresholding by nature-inspired algorithms: A short review

CZU: 004.932:510.51
Pag. 318-338

Tuba Milan
 
University of Belgrade
 
Disponibil în IBN: 20 noiembrie 2014


Rezumat

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 natureinspired metaheuristics to multilevel image thresholding.

Cuvinte-cheie
Digital image processing, multilevel thresholding, metaheuristic optimization.,

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