Direction-Based Segmentation of Retinal Blood Vessels

被引：4
作者：
Frucci, M. [1 ]
Riccio, D. [1 ,2 ]
di Baja, G. Sanniti [1 ]
Serino, L. [1 ]
机构：
[1] CNR, Inst High Performance Comp & Networking, Naples, Italy
[2] Univ Naples Federico II, Naples, Italy
来源：
PROGRESS IN PATTERN RECOGNITION, IMAGE ANALYSIS, COMPUTER VISION, AND APPLICATIONS, CIARP 2016 | 2017年 / 10125卷
关键词：
Retinal image; Blood vessel segmentation; Direction map; MATCHED-FILTER; IMAGES;
D O I：
10.1007/978-3-319-52277-7_1
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
An unsupervised method is introduced for retinal blood vessels segmentation. The direction map is built by assigning to each pixel a discrete direction out of twelve possible ones. Under- and over-segmented images are obtained by applying two different threshold values to the direction map. Almost all foreground pixels in the under-segmented image can be taken as vessel pixels. Missing vessel pixels in the under-segmented image are recovered by using the over-segmented image. The method has been tested on the DRIVE dataset [1] producing satisfactory results, and its performance has been compared to that of other unsupervised methods.
引用
收藏
页码：1 / 9
页数：9
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