Fast Fundus Optic Disc Localization Based on Main Blood Vessel Extraction

被引：6

作者：

Lin, Jia-wen ^{[1
]}

Weng, Qian ^{[2
]}

Yu, Lun ^{[1
]}

机构：

[1] Fuzhou Univ, Coll Phys & Informat Engn, 2 Xueyuan Rd, Fuzhou 350116, Fujian, Peoples R China

[2] Fuzhou Univ, Coll Math & Comp Sci, 2 Xueyuan Rd, Fuzhou 350116, Fujian, Peoples R China

来源：

PROCEEDINGS OF 2018 10TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND COMPUTING (ICMLC 2018) | 2018年

基金：

中国国家自然科学基金;

关键词：

Diabetic retinopathy; fundus image; optic disc (OD) localization; parabolic fitting; medical image analysis; DIABETIC-RETINOPATHY; IMAGES; SEGMENTATION; DIAGNOSIS;

D O I：

10.1145/3195106.3195162

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Optic disc (OD) is one of the most important structures in retina. The automatic detection of OD is essential to make Diabetic retinopathy examination more effective. In this paper, a fast optic disc localization algorithm is described. Our approach begins with pre-processing, and then the main vessels in fundus images are extracted based on morphology methods. In the next step, parabolic fitting algorithm by the least square method is applied to express the main vessels. Finally, we judge the fitting result and defined the apex as the OD center. The proposed method was evaluated in 3 public datasets. An average accuracy of 99.05% at the average time of 1.08 second was achieved.

引用

页码：242 / 246

页数：5

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