Multi-level threshold selection based on artificial bee colony algorithm and maximum entropy for image segmentation
by Yonghao Xiao; Yunfei Cao; Weiyu Yu; Jing Tian
International Journal of Computer Applications in Technology (IJCAT), Vol. 43, No. 4, 2012

Abstract: Image threshold segmentation based on artificial bee colony algorithm (ABCA) and maximum entropy is presented in this paper. The entropy function is simplified with several parameters. The ABC is applied to search the maximum value of entropy function. According to the maximum function value, the optimal image thresholds are obtained. Experimental results are provided to demonstrate the superior performance of the proposed approach.

Online publication date: Fri, 01-Jun-2012

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