期刊
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
卷 20, 期 1, 页码 333-342出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JBHI.2014.2365514
关键词
Optic disc (OD) detection; retinal image; vessel
类别
资金
- Construct Program of the Key Discipline in Hunan Province
- Scientific Research Fund of Hunan Provincial Education Department [14A137]
- National Natural Science Fundation of China [51277156]
A novel accurate and fast optic disc (OD) detection method is proposed by using vessel distribution and directional characteristics. A feature combining three vessel distribution characteristics, i.e., local vessel density, compactness, and uniformity, is designed to find possible horizontal coordinate of OD. Then, according to the global vessel direction characteristic, a General Hough Transformation is introduced to identify the vertical coordinate of OD. By confining the possible OD vertical range and by simplifying vessel structure with blocks, we greatly decrease the computational cost of the algorithm. Four public datasets have been tested. The OD localization accuracy lies from 93.8% to 99.7%, when 8-20% vessel detection results are adopted to achieve OD detection. Average computation times for STARE images are about 3.4-11.5 s, which relate to image size. The proposed method shows satisfactory robustness on both normal and diseased images. It is better than many previous methods with respect to accuracy and efficiency.
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