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The goal of image segmentation is to cluster pixels into salient image regions, it is the most significant step in image analysis. Thresholding is a simple but effective tool to separate objects from the background, which is one of the most popular algorithms. The artificial bee colony algorithm (ABC) is a recently presented meta-heuristic algorithm, which has been successfully applied to solve many...
Image segmentation is the most significant step in image analysis and is a long-term difficult problem, which hasn't been fully solved. Many segmentation methods have been brought forward to deal with image segmentation, among these methods thresholding is the simple and important method in image segmentation. In practical work, 2-dimension (2D) entropy method is often used. It segments images by...
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