|
|
Optic Disc Localization in Color Fundus Images Based on Fundus Structure Feature |
Xiao Zhitao1, 4, Shao Yiting1, Zhang Fang1*, Wen Jia1, Geng Lei1, 4, Wu Jun1, Shang Dandan1, Su Long2, Shan Chunyan3 |
1 (School of Electronics and Information Engineering, Tianjin Polytechnic University, Tianjin 300387, China) 2 (The Second Hospital of Tianjin Medical University, Tianjin 300211, China) 3 (Metabolic Disease Hospital of Tianjin Medical University, Tianjin 300070, China) 4 (Tianjin Key Laboratory of Optoelectronic Detection Technology and System, Tianjin 300387, China) |
|
|
Abstract The size and the shape of optic disc (OD) in fundus images are very important for diagnosing the fundus diseases, therefore the detection and localization of OD have important significance for computer-aided diagnosis of the ophthalmology diseases. In this paper, the OD localization method in color fundus images based on the characteristics of fundus structure was proposed. Firstly, vein vessels in fundus image were extracted based on the bot-hat transformation. Then, parabolic fitting algorithm based on the least square method was applied to get the preliminary localization of OD. Finally, the accurate localization of OD was determined through window-scanning. Comparative experimental results were obtained from four publicly available datasets (DRIVE, DIABETED0, STARE and MESSIDOR). Testing results were 100%, 98.6%, 93.8%, 99.75% respectively, which proved the accuracy and robust of the proposed method.
|
Received: 12 November 2015
|
|
|
|
|
[1] 张东波, 易瑶, 赵圆圆. 基于投影的视网膜眼底图像视盘检测方法[J]. 中国生物医学工程学报, 2013, 32(4): 477-483. [2] Sinthanayothin C, Boyce JF, Cook HL, et al. Automated localisation of the optic disc, fovea, and retinal blood vessels from digital colour fundus images[J]. British Journal of Ophthalmology, 1999, 83(8): 902-910. [3] Li Huiqi, Chutatape O. Automatic location of optic disk in retinal images[C] // IEEE International Conference on Image Processing. Thessaloniki: IEEE, 2001, 2: 837-840. [4] 邹北骥, 张思剑, 朱承璋. 彩色眼底图像视盘自动定位与分割[J]. 光学精密工程, 2015, 23(4): 1187-1195. [5] Haar FT. Automatic localization of the optic disc in digital colour images of the human retina[D]. Utrecht: Utrecht University, 2005. [6] Ravishankar S, Jain A, Mittal A. Automated feature extraction for early detection of diabetic retinopathy in fundus images[C]// IEEE Conference on Computer Vision and Pattern Recognition. Miami: IEEE, 2009: 210-217. [7] Tobin KW, Chaum E, Govindasamy VP, et al. Detection of anatomic structures in human retinal imagery[J]. IEEE Transactions on Medical Imaging, 2007, 26(12): 1729-1739. [8] 郑绍华, 陈健, 潘林, 等. 基于定向局部对比度的眼底图像视盘检测方法[J]. 中国生物医学工程学报, 2014, 33(3): 289-296. [9] Foracchia M, Grisan E, Ruggeri A. Detection of optic disc in retinal images by means of a geometrical model of vessel structure[J]. IEEE Transactions on Medical Imaging, 2004, 23(10): 1189-1195. [10] Hoover A, Goldbaum M. Locating the optic nerve in a retinal image using the fuzzy convergence of the blood vessels [J]. IEEE Transactions on Medical Imaging, 2003, 22(8): 951-958. [11] 朱琳琳, 唐延东. 基于眼底特征的视盘自动检测[J]. 仪器仪表学报, 2010, 31(8): 118-122. [12] Youssif A, Ghalwash A, Ghoneim A. Optic disc detection from normalized digital fundus images by means of a vessels’ direction matched filter [J]. IEEE Transactions on Medical Imaging, 2008, 27(1): 11-18. [13] Godse DA, Bormane DS. Automated localization of optic disc in retinal images[J]. International Journal of Advanced Computer Science and Applications, 2013, 4(2): 65-71. [14] Harangi B, Hajdu A. Detection of the optic disc in fundus images by combining probability models[J]. Computers in Biology and Medicine, 2015, 65:10-24. [15] Max V. DRIVE: Digital retinal images for vessel extraction[EB/OL]. http://www.isi.uu.nl/Research/Databases/DRIVE, 2014-03-12/2015-03-18. [16] Hoover A. Structured analysis of the retina[EB/OL]. http://www.ces.clemson.edu/~ahoover/stare, 2015-05-18/2015-06-09. [17] Kauppi T, Kalesnykiene V, Kamarainen JK, et al. DIARETDB0-Standard Diabetic Retinopathy Database Calibration level 0[EB/OL]. http://www2.it.lut.fi/project/imageret/diaretdb0, 2014-09-06/2015-03-07. [18] Klein J C. Methods to evaluate segmentation and indexing techniques in the field of retinal ophthalmology (MESSIDOR) [EB/OL]. http://www.adcis.net/en/Download-Third-Party/Messidor.html, 2015-01-11/2015-06-20. [19] Tasman W, Jaeger EA. Duane’s Ophthalmology [M]. (15th Edition). Philadelphia: Lippincott Williams & Wilkins, 2009. |
[1] |
Liu Shuang, Tong Jingjing, Yang Jiajia, Qi Hongzhi, Ming Dong. Study on Emotion Recognition with Integrating EEG Homologous Samples Method[J]. Chinese Journal of Biomedical Engineering, 2016, 35(3): 272-277. |
[2] |
Lin Lin, Tan Xiaodan, Wang Tao. An Assessment of Linear Superposition Conditions for 40 Hz Auditory Steady-State Responses[J]. Chinese Journal of Biomedical Engineering, 2016, 35(3): 278-283. |
|
|
|
|