Unsupervised Segmentation of Retinal Blood Vessels Using theHuman Visual System Line Detection Model
سال انتشار: 1395
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 310
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شناسه ملی سند علمی:
JR_JIST-4-2_008
تاریخ نمایه سازی: 9 اسفند 1395
چکیده مقاله:
Retinal image assessment has been employed by the medical community for diagnosing vascular and non-vascular pathology. Computer based analysis of blood vessels in retinal images will help ophthalmologists monitor larger populations for vessel abnormalities. Automatic segmentation of blood vessels from retinal images is the initial step of the computer based assessment for blood vessel anomalies. In this paper, a fast unsupervised method for automatic detection of blood vessels in retinal images is presented. In order to eliminate optic disc and background noise in the fundus images, a simple preprocessing technique is introduced. First, a newly devised method, based on a simple cell model of the human visual system (HVS) enhances the blood vessels in various directions. Then, an activity function is presented on simple cell responses. Next, an adaptive threshold is used as an unsupervised classifier and classifies each pixel as a vessel pixel or a non-vessel pixel to obtain a vessel binary image. Lastly, morphological post-processing is applied to eliminate exudates which are detected as blood vessels. The method was tested on two publicly available databases, DRIVE and STARE, which are frequently used for this purpose. The results demonstrate that the performance of the proposed algorithm is comparable with state-of-the-art techniques.
کلیدواژه ها:
نویسندگان
Mohsen Zardadi
Department of Electrical and Computer Engineering, Birjand University, Birjand, Iran
Nasser Mehrshad
Department of Electrical and Computer Engineering, Birjand University, Birjand, Iran
Seyyed Mohammad Razavi
Department of Electrical and Computer Engineering, Birjand University, Birjand, Iran