Multilevel Minimum Cross Entropy Thresholding using Artificial Bee Colony Algorithm

Abstract

The minimum cross entropy thresholding (MCET) has been widely applied in image processing. In this paper, a new multilevel MCET algorithm based on the artificial bee colony (ABC) algorithm is proposed. The proposed thresholding algorithm is called ABC-based MCET algorithm. Four different methods including the exhaustive search, the honey bee mating… (More)

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Cite this paper

@inproceedings{Horng2013MultilevelMC, title={Multilevel Minimum Cross Entropy Thresholding using Artificial Bee Colony Algorithm}, author={Ming-Huwi Horng}, year={2013} }