Segmentation of Infrared Images and Objectives Detection Using Maximum Entropy Method Based on the Bee Algorithm

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Thresholding is a popular image segmentation method that converts a gray-level image into a binary image. Many thresholding techniques have been proposed in the recent years. Among them, the maximum entropy thresholding has been widely applied. Image entropy thresholding approach has drawn the attentions in image segmentation. In this paper, the image thresholding approach with the index of entropy maximization of the grayscale histogram based on a novel optimization algorithm, namely, the bee algorithm is proposed to deal with infrared images. The bee algorithm is realized successfully in the process of solving the maximum entropy problem.