A Level Set Method for Image Segmentation by Integrating Channel Anisotropic Diffusion Information

摘要：

A novel algorithm for image segmentation is proposed, which combines anisotropic diffusion and Chan-Vese (CV) model to improve contours performance on multichannel (color, multispectral, hyperspectral, etc) image segmentation. Firstly, the multichannel images are divided into each single channel. Secondly, a novel anisotropic diffusion method is used to smooth the image of each channel. Finally, we use an improved multichannel CV model which integrates the segmentation information of each channel. Simulation and real experiments on color images have shown that our algorithm can obtain better performance than the traditional CV method.

作者: Jijun REN Mingyi HE

作者单位: Northwestern Polytechnical University, China

会议类型: 国际会议

会议名称: 2nd IEEE Conference on Industrial Electronics and Applications(ICIEA 2007)(第二届IEEE工业电子与应用国际会议)

会议地点: 哈尔滨

会议语种:英文

在线出版日期: 2007-05-23（万方平台首次上网日期，不代表论文的发表时间）