An Approach to Retinal Image Segmentations Using Fuzzy Clustering in Combination with Morphological Filters

摘要：

Retinal vessel appearance is an important feature for personal identification, information security and confidentiality. It also is a key indicator for many early diagnoses, such as diabetes and hypertension. In this approach, a extraction method of retinal vessels based on fuzzy clustering in combination with morphological filtering is proposed. By decomposing the green channel image into smooth and textured components, fuzzy clustering is firstly performed on the textured composite, then the morphological open operation with multiscale linear-like structure elements is applied to suppressing noise structures. Experimental results indicate that the method can automatically and effectively extract most of the vessel backbones and branches.

作者: DING Liang ZHANG Yongping ZHANG Xueying

作者单位: School of Electronic and Information Engineering, Ningbo University of Technology, Ningbo 315016, P. School of Electronic and Information Engineering, Ningbo University of Technology, Ningbo 315016, P. College of Information Engineering, Taiyuan University of Technology, Taiyuan, P.R.China

会议类型: 国际会议

会议名称: The 30th Chinese Control Conference(第三十届中国控制会议)

会议地点: 烟台

会议语种:英文

页码: 1-4

在线出版日期: 2011-07-01（万方平台首次上网日期，不代表论文的发表时间）