机械与电子Issue(3)：17-20,4.
基于小波包变换和蚁群算法的纹理分割方法
Texture Segmentation Based on Wavelet Packet Transform and Ant Colony Optimization
摘要
Abstract
In order to solve the problems of poor regional consistency and the large error rate in texture image segmentation,we proposed an approach based on wavelet packet transform and ant colony optimization in this paper. Considering the traditional clustering algorithm depends on the selection of the initial value,we use the ant colony algorithm instand,which has better robustness. The pixels which belong to the same texture are often continuity in space,therefore,we take the surrounding pixels' last segment results into consideration,to reduce the presence of isolated points.关键词
小波包变换/蚁群优化算法/纹理分割/k均值算法Key words
wavelet packet transform/ant colony optimization/texture segmentation/k- means分类
信息技术与安全科学引用本文复制引用
余文勇,孙长江,黄华斌..基于小波包变换和蚁群算法的纹理分割方法[J].机械与电子,2012,(3):17-20,4.基金项目
2009年自主创新基金-面上项目(01-09-100961) （01-09-100961）
