Automated localisation of retinal optic disk using Hough transform

被引:77
作者
Sekhar, S. [1 ]
Al-Nuaimy, W. [1 ]
Nandi, A. K. [1 ]
机构
[1] Univ Liverpool, Dept Elect Engn & Elect, Liverpool L69 3GJ, Merseyside, England
来源
2008 IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: FROM NANO TO MACRO, VOLS 1-4 | 2008年
关键词
retinal imaging; morphological processing; Hough transform; biomedical imaging; optic disk;
D O I
10.1109/ISBI.2008.4541312
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
The retinal fundus photograph is widely used in the diagnosis and treatment of various eye diseases such as diabetic retinopathy and glaucoma. Medical image analysis and processing has great significance in the field of medicine, especially in non-invasive treatment and clinical study. Normally fundus images are manually graded by specially trained clinicians in a time-consuming and resource-intensive process. A computer-aided fundus image analysis could provide an immediate detection and characterisation of retinal features prior to specialist inspection. This paper describes a novel method to automatically localise one such feature: the optic disk. The proposed method consists of two steps: in the first step, a circular region of interest is found by first isolating the brightest area in the image by means of morphological processing, and in the second step, the Hough transform is used to detect the main circular feature (corresponding to the optical disk) within the positive horizontal gradient image within this region of interest. Initial results on a database of fundus images show that the proposed method is effective and favourable in relation to comparable techniques.
引用
收藏
页码:1577 / 1580
页数:4
相关论文
共 11 条
  • [1] A COMPUTER METHOD OF UNDERSTANDING OCULAR FUNDUS IMAGES
    AKITA, K
    KUGA, H
    [J]. PATTERN RECOGNITION, 1982, 15 (06) : 431 - 443
  • [2] CHAUDHURI S, 1989, IEEE INT C IM PROC, V1, P1
  • [3] 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
  • [4] Automated feature extraction in color retinal images by a model based approach
    Li, HQ
    Chutatape, O
    [J]. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2004, 51 (02) : 246 - 254
  • [5] Mendels F., 1999, Identification of the optic disk boundary in retinal images using active contours, P103
  • [6] Park M., 2006, International Conference on the Computer Graphics, Imaging and Visualisation, V2006, P141, DOI 10.1109/CGIV.2006.63
  • [7] Segmentation of retinal blood vessels using a novel clustering algorithm (RACAL) with a partial supervision strategy
    Salem, Sameh A.
    Salem, Nancy M.
    Nandi, Asoke K.
    [J]. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 2007, 45 (03) : 261 - 273
  • [8] Automated localisation of the optic disc, fovea, and retinal blood vessels from digital colour fundus images
    Sinthanayothin, C
    Boyce, JF
    Cook, HL
    Williamson, TH
    [J]. BRITISH JOURNAL OF OPHTHALMOLOGY, 1999, 83 (08) : 902 - 910
  • [9] Ridge-based vessel segmentation in color images of the retina
    Staal, J
    Abràmoff, MD
    Niemeijer, M
    Viergever, MA
    van Ginneken, B
    [J]. IEEE TRANSACTIONS ON MEDICAL IMAGING, 2004, 23 (04) : 501 - 509
  • [10] WALTER T, 2001, 2 INT S MED DAT AN O, P282