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- Title
基于改进型Gbvs 模型的眼底图像视盘检测方法.
- Authors
吴骏; 张亚男; 肖志涛; 耿磊; 张芳; 杨嵩; 张东霞; 宋舒雅
- Abstract
For resolving the problem that the visual features of optic disc (OD) were not utilized efficiently in existing methods of (OD) localization, improving the location accuracy and segementation accuracy, a new OD detection method, combining visual attention mechanism and phase congruency is presented. Firstly, Gbvs model is improved by extracting three types of features including intensity, contrast and phase congruency (PC) which accords with human visual perception characteristics, and the modified Gbvs model is used to obtain saliency map. Then,the total saliency map is scanned using a sliding window,where the highest significance is scanned as the center of (OD), Finally, the main blood vessels around (OD) vicinity are removed and the boundary of (OD) is detected using C-V model. This method is tested on MESSIDOR dataset,and its average test result is 98.83% which is higher than existing representative methods. The experimental results show that the proposed method has higher location accuracy and segmentation accuracy.
- Publication
Journal of the Tianjin Polytechnic University / Tianjin Gongye Daxue Xuebao, 2018, Vol 37, Issue 1, p54
- ISSN
1671-024X
- Publication type
Article
- DOI
10.3969/j.issn.1671-024x.2018.01.010