基于投影的视网膜眼底图像视盘检测方法

doi:10.3969/j.issn.0258-8021. 2013. 04.014

Abstract
Figure/Table
References (0)
Related Citation (6)

Download: PDF (716 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract In order to utilize the vessel distribution and optic disc (OD) appearance characteristics effectively, a novel OD localization method based on 1-D projection was proposed in this work. First, vertical windows with 2 main vessel widths were used to compute the vascular scatter degree of every horizontal position, and corresponding horizontal projection curve was plotted, the horizontal location of OD was identified as the location of the minimum position of the horizontal projection curve. Next, a rectangular window slid up to down at determined horizontal location to obtain the brightness and edge gradient features of local regions, and corresponding vertical projection curve was plotted. The maximum peak of the vertical projection curve was set as the vertical position of OD. The proposed method was tested with four publiclyavailable databases and a selfselection database. The OD was successfully located in 357 images out of 380 images (94%). And the average time for one image in STARE dataset was 13.2 s. Regarding to accuracy and efficiency, the proposed method was easy to implement and present good robust performance.

Key words： optic disc detection projection retinal image

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors

Cite this article:

URL:

http://cjbme.csbme.org/EN/10.3969/j.issn.0258-8021. 2013. 04.014 OR http://cjbme.csbme.org/EN/Y2013/V32/I4/477

［1］Sinthanayothin C, Boyce JF, Cook HL, et al. Automated location of the optic disk, fovea, and retinal blood vessels from digital color fundus images［J］. Br J Ophthalmol, 1999, 83(8):902-910.
［2］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. 
［3］Li Huiqi, Chutatape O. Automatic feature extraction in color retinal images by a model based approach［J］. IEEE Trans on Biomed Eng, 2004, 51(2):246-254.
［4］Barrett SF, Naess E, Molvik T. Employing the Hough transform to locate the optic disk ［J］. Biomed Sci Instrum, 2001, 37(1):81-86.
［5］Haar FT. Automatic localization of the optic disc in digital colour images of the human retina ［D］. Utrecht: Utrecht University, 2005.
［6］Foracchia M, Grisan E, Ruggeri A. Detection of optic disc in retinal images by means of a geometrical model of vessel structure ［J］. IEEE Trans Med Imaging, 2004, 23(10):1189-1195.
［7］Hoover GA, Goldbaum M. Locating the optic nerve in a retinal image using the fuzzy convergence of the blood vessels ［J］. IEEE Trans Med Imaging, 2003, 22(8):951-958.
［8］Youssif A, Ghalwash A, Ghoneim A. Optic disc detection from normalized digital fundus images by means of a vessels’ direction matched filter ［J］. IEEE Trans Med Imaging, 2008, 27(1):11-18.
［9］Mahfouz AE, Fahmy AS. Fast localization of the optic disc using projection of image feature ［J］. IEEE Trans Image Proc, 2010, 19(12):3285-3289.
［10］Goldbaum M, Moezzi S, Taylor A, et al. Automated diagnosis and image understanding with object extraction, object classification, and inferencing in retinal images ［C］ //IEEE International Conference on Image Processing. Los Alamitos: IEEE, 1996, 3:695-698.
［11］Lowell J, Hunter A, Steel D, et al. Optic nerve head segmentation ［J］. IEEE Trans Med Imaging, 2004, 23(2):256-264.
［12］Tobin KW, Chaum E, Govindasamy VP, et al. Characterization of the optic disc in retinal imagery using a probabilistic approach ［C］ //Proc SPIE Med Imaging. San Diego: SPIE, 2006, 6144:1088-1097.
［13］Abràmoff MD, Niemeijer M. The automatic detection of the optic disc location in retinal images using optic disc location regression［C］ //IEEE International ConferenceEMBS. New York: IEEE, 2006: 4432-4435.
［14］张东波，尚星宇. 病变视网膜图像的血管骨架提取方法研究［J］.电子测量与仪器学报，2011, 25(9):749-755.
［15］Walter T, Klein JC. Segmentation of color fundus images of the human retina: Detection of the optic disc and the vascular tree using morphological techniques ［C］ //Crespo J, eds. Int Symp Med Data Anal. Berling: SpringerVerlag, 2001: 282-287.
［16］Osareh A. Automated identification of diabetic retinal exudates and the optic disc［D］. Bristol: University of Bristol, 2004.
［17］Lalonde M, Beaulieu M, Gagnon L. Fast and robust optic disk detection using pyramidal decomposition and Hausdorffbased template matching ［J］. IEEE Trans Med Imaging, 2001, 20(11):1193-1200.
［18］Tasman W, Jaeger E A. Duane’s Ophthalmology ［M］. (15th Edition). Philadelphia: Lippincott Williams & Wilkins, 2009.