An approach to locate optic disc in retinal images with pathological changes

被引:34
作者
Xiong, Li [1 ]
Li, Huiqi [1 ]
机构
[1] Beijing Inst Technol, Sch Informat & Elect, 5 Zhongguancun St, Beijing 100081, Peoples R China
关键词
Optic disc; Localization; Retinal images; COLOR FUNDUS IMAGES; FAST LOCALIZATION; BLOOD-VESSELS; NERVE HEAD; SEGMENTATION; EXTRACTION; DIAGNOSIS; BOUNDARY; MACULA; MODEL;
D O I
10.1016/j.compmedimag.2015.10.003
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Automatic optic disc (OD) detection is an essential step for screening of eye diseases. An OD localization method is proposed in this paper, which aims to locate OD robustly in retinal image with pathological changes. There are mainly three steps in this approach: region-of-interest (ROI) detection, candidate pixel detection, and confidence score calculation. The features of vessel direction, intensity, OD edges, and size of bright regions were extracted and employed in the proposed OD locating approach. Compared with the OD locating method based on vessel direction only, the proposed method could handle the following cases better: OD partially appears in retinal image, retinal vessels are not obvious in retinal image, or there are bright lesions in retinal images. Four public databases with total 340 retinal images were tested to evaluate the performance of our method. The proposed method can achieve an accuracy of 100%, 95.8%, 99.2%, 97.8% for DRIVE database, STARE database, DIARETDB0 database, DIARETDB1 database respectively. Comparison studies showed that the proposed approach is especially robust in the retinal images with diseases. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:40 / 50
页数:11
相关论文
共 27 条
  • [1] Detecting the Optic Disc Boundary in Digital Fundus Images Using Morphological, Edge Detection, and Feature Extraction Techniques
    Aquino, Arturo
    Emilio Gegundez-Arias, Manuel
    Marin, Diego
    [J]. IEEE TRANSACTIONS ON MEDICAL IMAGING, 2010, 29 (11) : 1860 - 1869
  • [2] Automated segmentation of the optic nerve head for diagnosis of glaucoma
    Chrástek, R
    Wolf, M
    Donath, K
    Niemann, H
    Paulus, D
    Hothorn, T
    Lausen, B
    Lämmer, R
    Mardin, CY
    Michelson, G
    [J]. MEDICAL IMAGE ANALYSIS, 2005, 9 (04) : 297 - 314
  • [3] Chrastek R, 2002, BILDVERARBEITUNG MED, P263
  • [4] Automatic optic disk boundary extraction by the use of curvelet transform and deformable variational level set model
    Esmaeili, Mahdad
    Rabbani, Hossein
    Dehnavi, Alireza Mehri
    [J]. PATTERN RECOGNITION, 2012, 45 (07) : 2832 - 2842
  • [5] Detection of optic disc in retinal images by means of a geometrical model of vessel structure
    Foracchia, M
    Grisan, E
    Ruggeri, A
    [J]. IEEE TRANSACTIONS ON MEDICAL IMAGING, 2004, 23 (10) : 1189 - 1195
  • [6] Locating the optic nerve in a retinal image using the fuzzy convergence of the blood vessels
    Hoover, A
    Goldbaum, M
    [J]. IEEE TRANSACTIONS ON MEDICAL IMAGING, 2003, 22 (08) : 951 - 958
  • [7] A novel optic disc detection scheme on retinal images
    Hsiao, Hung-Kuei
    Liu, Chen-Chung
    Yu, Chun-Yuan
    Kuo, Shiau-Wei
    Yu, Shyr-Shen
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2012, 39 (12) : 10600 - 10606
  • [8] Kauppi T, 2007, TECH REP
  • [9] Fast and robust optic disc detection using pyramidal decomposition and Hausdorff-based template matching
    Lalonde, M
    Beaulieu, M
    Gagnon, L
    [J]. IEEE TRANSACTIONS ON MEDICAL IMAGING, 2001, 20 (11) : 1193 - 1200
  • [10] Li H, 2001, IM PROC 2001 P 2001, V2