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Image Segmentation Using Thresholding and Artificial Fish-Swarm Algorithm

Image segmentation is an important technology for image processing. Many segmentation methods have been brought forward for image segmentation, among these methods thresholding is the simplest and effective method in image segmentation. In general, the thresholding method based on two-dimensional histogram can provide better results than that of one-dimension histogram. However, for more accurate thresholding, much more time has to pay. Thus, this paper proposes a novel approach to two-dimensional threshold selection based on artificial fish-swarm algorithm and two-dimensional Fisher function criterion. In final, experiments results demonstrate that the proposed method performs well which is a good method to help select optimum 2D thresholds.