文章基本信息

标题：Matrix Mask Overlapping and Convolution Eight Directions for Blood Vessel Segmentation on Fundus Retinal Image
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作者：Arif Muntasa ; Indah Agustien Sirajudin ; Moch Kautsar Sophan 等
期刊名称：TELKOMNIKA (Telecommunication Computing Electronics and Control)
印刷版ISSN：2302-9293
出版年度：2014
卷号：12
期号：3
页码：631-638
DOI：10.12928/telkomnika.v12i3.97
语种：English
出版社：Universitas Ahmad Dahlan
摘要：Diabetic Retinopathy is one of the diseases that have the effect of a high mortality rate after heart disease and cancer. However, the disease can be early detected through blood vessels and the optic nerve head in Fundus images. Blood vessels separation of the optic nerve head required high effort when it is conducted manually, therefore it is necessary that the appropriate method to perform segmentation of the object. Level Set method is well-known as object segmentation method based on object deformable. However, the methods have the disadvantage; it requires initialization before the segmentation process. In this research, segmentation method without initialization process is proposed. The segmentation is conducted by using the maximum value selection results of convolution 8 directions. Experimental results show that, proposed method has obtained 89.48% accuracy. Segmentation errors are caused by small branches, where they are not connected, so that the objects are supposed as noises
关键词：Fundus Image, segmentation, 8 directions Convolution, overlapping