文章基本信息

标题：ON APPLICATION OF GAUSSIAN KERNEL TO RETINAL BLOOD TRACING
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作者：MOHD ASYRAF ZULKIFLEY ; AIN NAZARI ; SITI KHADIJAH 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2015
卷号：77
期号：1
出版社：Journal of Theoretical and Applied
摘要：Fast disease screening system is becoming very important nowadays as it is useful in minimizing the pain suffered by the patient. Eye is one of the important organs used to screen various diseases such as diabetes, pterygium, glaucoma, stroke and etc. Two popular modalities to capture the visualization information of the eyes are photographed and fundus images. Photographed image captures the exterior appearance of the eyes, while fundus image captures the interior surface of the eye. This study focuses on the fundus image, in which the objective is to extract the retinal blood vessels. Condition of the vessels is a good cue for identifying microaneurysm where a sudden jump in vessels trajectory indicate a blockage in the blood flow. Hence, an edge operator is used to extract the possible lines. Two removal steps, which are outer ring and optic disc removal are performed, so that only the vessels are detected. A filling operation is performed by using gaussian kernel such that areas surrounding existing edges are analyzed to label it as blood vessel or not. The proposed technique is then tested on two databases; DRIVE and STARE. Four performance metrics are calculated based on accuracy, sensitivity, error and specificity where the best results are 0.880, 0.546, 0.120 and 0.912 respectively, obtained based on DRIVE database. The proposed system also works well in STARE database with accuracy of 0.860 and error of 0.140. The system can be further improved by using better detection scheme because the number of false negative is relatively high.
关键词：Gaussian Kernel; Fundus Image; Blood Vessel Detection; Optic Disc Removal; Outer Ring Removal