ROI DETECTION AND VESSEL SEGMENTATION IN RETINAL IMAGE

被引:4
|
作者
Sabaz, F. [1 ]
Atila, U. [1 ]
机构
[1] Karabuk Univ, Dept Comp Engn, TR-78050 Karabuk, Turkey
来源
4TH INTERNATIONAL GEOADVANCES WORKSHOP - GEOADVANCES 2017: ISPRS WORKSHOP ON MULTI-DIMENSIONAL & MULTI-SCALE SPATIAL DATA MODELING | 2017年 / 42-4卷 / W6期
关键词
Vessel; Segmentation; ROI; Retina; Extraction; Frangi Filter;
D O I
10.5194/isprs-archives-XLII-4-W6-85-2017
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
Diabetes disrupts work by affecting the structure of the eye and afterwards leads to loss of vision. Depending on the stage of disease that called diabetic retinopathy, there are sudden loss of vision and blurred vision problems. Automated detection of vessels in retinal images is a useful study to diagnose eye diseases, disease classification and other clinical trials. The shape and structure of the vessels give information about the severity of the disease and the stage of the disease. Automatic and fast detection of vessels allows for a quick diagnosis of the disease and the treatment process to start shortly. ROI detection and vessel extraction methods for retinal image are mentioned in this study. It is shown that the Frangi filter used in image processing can be successfully used in detection and extraction of vessels.
引用
收藏
页码:85 / 89
页数:5
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