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   Vessel Segmentation in Retinal Images Using Multi‑scale Line Operator and K‑Means Clustering  
   
نویسنده Mohammadi Saffarzadeh Vahid ,Osareh Alireza ,Shadgar Bita
منبع journal of medical signals and sensors - 2014 - دوره : 4 - شماره : 2 - صفحه:122 -129
چکیده    Detecting blood vessels is a vital task in retinal image analysis. the task is more challenging with the presence of bright and dark lesions in retinal images. here, a method is proposed to detect vessels in both normal and abnormal retinal fundus images based on their linear features. first, the negative impact of bright lesions is reduced by using k means segmentation in a perceptive space.then, a multi scale line operator is utilized to detect vessels while ignoring some of the dark lesions, which have intensity structures different from the line shaped vessels in the retina. the proposed algorithm is tested on two publicly available stare and drive databases. the performance of the method is measured by calculating the area under the receiver operating characteristic curve and the segmentation accuracy. the proposed method achieves 0.9483 and 0.9387 localization accuracy against stare and driverespectively.
کلیدواژه K means segmentation ,linear structure ,perceptive transform ,retina image ,retinal vessel segmentation
آدرس shahid chamran university of ahvaz, ایران, shahid chamran university of ahvaz, ایران, shahid chamran university of ahvaz, ایران
 
     
   
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