title: [New Approach of Fundus Image Segmentation Evaluation Based on Topology Structure].
abstract: In view of the evaluation of fundus image segmentation, a new evaluation method was proposed to make up insufficiency of the traditional evaluation method which only considers the overlap of pixels and neglects topology structure of the retinal vessel. Mathematical morphology and thinning algorithm were used to obtain the retinal vascular topology structure. Then three features of retinal vessel, including mutual information, correlation coefficient and ratio of nodes, were calculated. The features of the thinned images taken as topology structure of blood vessel were used to evaluate retinal image segmentation. The manually-labeled images and their eroded ones of STARE database were used in the experiment. The result showed that these features, including mutual information, correlation coefficient and ratio of nodes, could be used to evaluate the segmentation quality of retinal vessel on fundus image through topology structure, and the algorithm was simple. The method is of significance to the supplement of traditional segmentation evaluation of retinal vessel on fundus image.
authors.forename: Hanwei
authors.initials: H
authors.lastname: Sheng
authors.forename: Peishan
authors.initials: P
authors.lastname: Dai
authors.forename: Zhihang
authors.initials: Z
authors.lastname: Liu
authors.forename: Miaoyun
authors.initials: M
authors.lastname: Zhang-Wen
authors.forename: Yali
authors.initials: Y
authors.lastname: Zhao
authors.forename: Min
authors.initials: M
authors.lastname: Fan
mesh_terms: D000465:Algorithms; D016208:Databases, Factual; D003952:Diagnostic Imaging / Q000379:methods*; D003941:Diagnostic Techniques, Ophthalmological; D005654:Fundus Oculi; D006801:Humans; D007091:Image Processing, Computer-Assisted; D012160:Retina; D012171:Retinal Vessels / Q000033:anatomy & histology*