Segmentation of Retinal Blood Vessels Based on Ultimate Elongation Opening

被引：4

作者：

Alves, Wonder A. L. ^{[1
,2
]}

Gobber, Charles F. ^{[1
]}

Araujo, Sidnei A. ^{[1
]}

Hashimoto, Ronaldo F. ^{[2
]}

机构：

[1] Univ Nove Julho, Informat & Knowledge Management Grad Program, Sao Paulo, SP, Brazil

[2] Univ Sao Paulo, Inst Math & Stat, Dept Comp Sci, Sao Paulo, SP, Brazil

来源：

IMAGE ANALYSIS AND RECOGNITION (ICIAR 2016) | 2016年 / 9730卷

关键词：

Elongation descriptor; Ultimate opening; Retina image; Blood vessels segmentation; IMAGES;

D O I：

10.1007/978-3-319-41501-7_81

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper proposes a method for segmentation of retinal blood vessels based on ultimate attribute opening (UAO). The proposed approach analyzes the space of numerical residues generated by UAO in order to select the residues extracted from elongated regions by means of an elongation shape descriptor. Thus, the residues extracted are used to define the ultimate elongation opening. Experimental results, using the public datasets DRIVE and STARE show that the proposed approach is fast, simple and comparable to other methods found in the literature.

引用

页码：727 / 733

页数：7

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