Zhiwei Zhou
ABSTRACT
Optic disk (OD) localization is a significant step when processing the retinal images in computer-aided diagnosis. In order to determine the location of OD precisely and robustly, an OD localization algorithm based on support vector machine (SVM) is proposed in this paper. According to some structural and intensity features of the bright regions in the retinal images, the SVM classifier is trained to recognize bright OD candidate regions. A convex hull is created on the basis of these candidate regions to locate the center of OD. Compared with OD localization methods in literatures, this proposed approach can locate the center of OD with higher accuracy because the application of machine learning algorithm improves the classification accuracy of bright regions. Three public databases with total 259 images were tested to evaluate the performance. The proposed method can achieve an accuracy of 100%, 96.9%, 97.8% for DRIVE database, DIARETDB0 database and DIARETDB1 database respectively.
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- A Robust Optic Disc Localization Algorithm in Retinal Images Based on Support Vector Machine
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