计算机工程与应用Issue(5)：175-179,5.DOI:10.3778/j.issn.1002-8331.1204-0378
基于三维阈值和PPPSO的图像分割方法
Image segmentation method based on 3-D threshold and predator-prey particle swarm optimization
摘要
Abstract
A method of image segmentation based on 3-D threshold and Predator Prey Particle Swarm Optimization (PPPSO)is proposed. The method not only retains the traditional 2-D Otsu method’s advantages, but also makes full use of the fuzzy information of the image-fuzzy median value, which with gray value and average gray value constitute a 3-D feature vector. In addition, PPPSO is used to search for the best threshold, which can reduce the search time greatly and converge to global optimum rapidly. Experimental results show that the improved method has a good anti-noise and real-time performance.关键词
图像分割/三维阈值/捕食-被捕食/粒子群优化Key words
image segmentation/3-D threshold/predator-prey/particle swarm optimization分类
信息技术与安全科学引用本文复制引用
何伟,齐琦,张国云..基于三维阈值和PPPSO的图像分割方法[J].计算机工程与应用,2014,(5):175-179,5.基金项目
湖南省教育厅重点项目（No.10A046）；湖南理工学院校级科研计划项目（No.2011Y31）。 （）
