基于鱼群算法的图像阈值分割*

本文提出了一种基于鱼群算法的二维阈值图像分割的新方法。传统的二维Otsu方法考虑了图像的灰度信息和像素间的空间邻域信息，是一种有效的图像分割方法。针对Ostu方法的计算量大、运行时间长的缺陷，采用鱼群算法来搜索最优二维阈值向量，通过鱼群追尾行为获得最优阈值。实验结果表明，所提出的方法不仅能得到理想的分割结果，而且分割速度快。

Image thresholding segmentation with Otsu based fish colony algorithm

In this paper, two dimensional thresholding image segmentation based on fish colony algorithm is proposed. Otsu thresholding which features a good performance, is one of the main image threshold segmentation methods. But the application of the two dimensional Otsu threshold algorithm has been restricted for the long paying computation. In order to overcome the disadvantages and get better results. Simulation result has demonstrated that the computational time of the FCO based Otsu is far less than other algorithm.