A fast method to detect blood vessel in retinal image  

作　　者：TIAN Bei CHEN Zhen-guo GUO Xue-qian XU Li-li 

机构地区：[1]Beijing Tongren Eye Center, Beijing Tongren Hospital, CapitalMedical University Beijing Ophthalmology & Visual Sciences KeyLaboratory, Beijing 100730, China [2]Department of Ophthalmology, Third Affiliated Hospital ofWenzhou Medical college, Wenzhou, Zhejiang 325200, China [3]School of Biomedical Engineering, Capital Medical University,Beijing 100069, China

出　　处：《Chinese Medical Journal》2013年第10期1984-1986,共3页中华医学杂志（英文版）

摘　　要：Due to the increasing number ot diabetic patients, the number of people affected by diabetic retinopathy isexpected to increase. Diabetic retinopathy is a complication of diabetes and the most serious frequent eye disease in the world. Large-scale retinal screening for diabetic patients is necessary to prevent visual loss and blindness. The analysis of digital retinal images, obtained by the fundus camera, is viewed as a feasible approach because retinal blood vessels have been shown to change in diameter, branching angles, or tortuosity as a result of diabetic retinopathy. The morphological change can help identify the different stages of diabetic retinopathy. In addition, the acquisition of retinal image is nonintrusive and low cost. Automatic segmentation of the retinal blood vessel is a prerequisite for this analysis.~3 This article presents a method to detect blood vessel based on sobel operators.4 Small and fast computation is the outstanding merit of this method.Due to the increasing number ot diabetic patients, the number of people affected by diabetic retinopathy isexpected to increase. Diabetic retinopathy is a complication of diabetes and the most serious frequent eye disease in the world. Large-scale retinal screening for diabetic patients is necessary to prevent visual loss and blindness. The analysis of digital retinal images, obtained by the fundus camera, is viewed as a feasible approach because retinal blood vessels have been shown to change in diameter, branching angles, or tortuosity as a result of diabetic retinopathy. The morphological change can help identify the different stages of diabetic retinopathy. In addition, the acquisition of retinal image is nonintrusive and low cost. Automatic segmentation of the retinal blood vessel is a prerequisite for this analysis.~3 This article presents a method to detect blood vessel based on sobel operators.4 Small and fast computation is the outstanding merit of this method.

关 键 词：retinal image segmentation of blood vessel sobel operators 

分 类 号：R774.1[医药卫生—眼科]