Automatic Determination of Neovascularization Area with Adaptive Histogram Equalization

被引：0
|
作者：
Catalbas, Mehmet Cem [1 ]
Issever, Didem [2 ]
Gulten, Arif [1 ]
机构：
[1] Firat Univ, Muhendisl Fak, Elekt & Elekt Muhendisligi Bolumu, Elazig, Turkey
[2] Gazi Univ, Teknoloji Fak, Bilgisayar Muhendisligi Bolumu, Ankara, Turkey
来源：
2015 MEDICAL TECHNOLOGIES NATIONAL CONFERENCE (TIPTEKNO) | 2015年
关键词：
Biomedical image processing; Hough transform; image erosion; image dilation; adaptive histogram equalization; vessel detection; feature extraction;
D O I：
暂无
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
In this work, the determination of corneal neovascularization ratio is examined in the light of image processing techniques. The adaptive histogram equalization method for used to increase the success of retinal blood vessel areas on preprocess. Also, various morphological operations were performed on the cornea image to improve the performance of the blood vessel patterns determination.
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页数：4
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