Automatic Color Image Segmentation Based on Anisotropic Diffusion and the Application in Cancer Cell Segmentation

摘要：

This paper presents a new algorithm using anisotropic diffusion and mean shift applied in the color image. It is shown how segmentation can benefit from splitting color signals into chromatic and achromatic channels and separately smoothing them through anisotropic diffusion. The result of diffusion is segmented by mean shift techniques and their combination yields the final image partition into homogeneous regions. Some experimental results applied to cancer cell images are reported in this paper which verifies the effectiveness of the proposed technique.

关键词： component color image segmentation anisotropic diffusion mean shift cancer cell image

作者: Li Na Liu Jian-Xin

作者单位: School of Biomedical Engineering Central South University Chang Sha, P.R.China School of Info-Physics and Geometric Engineering Central South University Chang Sha, P.R.China

会议类型: 国际会议

会议名称: The 1st International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2007)(首届IEEE生物信息与生物医学工程国际会议)

会议地点: 武汉

会议语种:英文

页码: 1006-1008

在线出版日期: 2007-07-06（万方平台首次上网日期，不代表论文的发表时间）