人工鱼群优化的多阈值图像分割算法

Multi-threshold Image Segmentation based on Artificial Fish-school Optimization

多阈值图像分割对于复杂图像具有较好的分割效果，但计算复杂度高，因此将鱼群算法应用到Otsu算法中，提出一种基于鱼群算法的多阈值图像分割算法。仿真结果证明，与传统的穷尽式搜索算法相比，该算法在正确选取阈值的同时降低了时间复杂度。

Multi-threshold segmentation methods are suitable for complex images, while they need significant computation time. In order to solve this problem, the author puts forward a multi-threshold image segmentation method based on artificial fish-school optimization. Simulation results show that the algorithm is useful in reducing the time consumed and in getting correct thresholds comparing with the traditional exhaustive searching algorithms.