粒子群优化在图像最小误差阈值化中的应用

Particle swarm optimization for image minimum error thresholding

提出了一种基于粒子群优化(PSO)的图像最小误差阈值化方法。将粒子群优化算法应用于图像最小误差阈值化中,克服了常规最小误差阈值化计算量大的缺点。实验证明该算法能有效降低常规图像最小误差阈值化的计算量,与遗传算法相比,该方法有更好的收敛性和稳定性。

A scheme for image minimum error thresholding based on Particle Swarm Optimization （PSO） was proposed in this paper. Minimum error thresholding is a popular technique for image segmentation, and our scheme applies PSO algorithm to image minimum error thresholding. This scheme solves the problem of large calculation burden of the regular minimum error thresholding method. The results we obtained demonstrate that our scheme can efficiently reduce calculation burden of the regular method and achieve better performance on convergence and robustness, compared with Genetic Arithmetic （GA）.