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

页码：1 / 9

页数：9

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