New Approach of Fundus Image Segmentation Evaluation Based on Topology Structure / 生物医学工程学杂志
Journal of Biomedical Engineering
;
(6): 1100-1105, 2015.
Article
in Chinese
| WPRIM
| ID: wpr-357912
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.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Retina
/
Retinal Vessels
/
Algorithms
/
Image Processing, Computer-Assisted
/
Diagnostic Imaging
/
Databases, Factual
/
Diagnostic Techniques, Ophthalmological
/
Fundus Oculi
/
Methods
Type of study:
Diagnostic study
Limits:
Humans
Language:
Chinese
Journal:
Journal of Biomedical Engineering
Year:
2015
Type:
Article
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