计算机工程Issue(4)：205-209,5.DOI:10.3969/j.issn.1000-3428.2015.04.039
基于改进SLIC方法的彩色图像分割
Color Image Segmentation Based on Improved SLIC Method
摘要
Abstract
In view of Simple Linear Iterative Clustering( SLIC) method sometimes does not well adhere to the edge,this paper proposes an improved SLIC method to solve this problem. In order to reduce the influence of texture and noise information to images boundary location, the nonlinear diffusion filtering algorithm is introduced to smooth the images while preserving the boundaries and decreasing the noises. After the first iteration by using the principles of the Sigma filter, it increases clustering condition,improves the result of SLIC superpixels clustering,and enhances the accuracy of clustering center while reducing the inaccurate segmentation in the process of iteration. Simulation results show that the superpixels segmentation results of the proposed method have better performance in image details,and this method also increases the boundary hit rate without significantly increasing the processing time compared with the conventional SLIC method.关键词
图像分割/超像素/非线性扩散滤波/Sigma滤波器/聚类/边界命中率Key words
image segmentation/superpixel/nonlinear diffusion filtering/Sigma filter/clustering/boundary hit rate分类
信息技术与安全科学引用本文复制引用
张亚亚,刘小伟,刘福太,张建廷..基于改进SLIC方法的彩色图像分割[J].计算机工程,2015,(4):205-209,5.基金项目
国家自然科学基金资助项目(61102167)。 （61102167）
