基于二进制粒子群的图像分割算法

Image segmentation algorithm based on binary PSO

基于最大类间方差的分隔方法思想简单、稳定有效,对于简单图像的分割效果良好。为了改善对复杂图像的分割效果,将算法推广到多阈值分割法;针对计算复杂度问题,引入二进制粒子群算法来解决,提高了算法的求解性能。通过对图像分割的实验,证明了算法的可行性和有效性。

The segmentation based on Ostu method is widely used for effective,simple and stable calculating.It has the remarkable effect for simple image,but for complex image,it has the disadvantage of more complexity and being time-consuming.In order to overcome the problem,the paper presents a new threshold image segmentation algorithm.For the computational complexity problem,the binary particle swarm intelligent algorithm is used and improves the solving performance.The feasibility and validity of the algorithm are explained by the image segmentation experiments.