Retinal Vessel Segmentation Using Supervised Classification Based on Multi-Scale Vessel Filtering and Gabor Wavelet

作者：Tang Songyuan; Lin Tong; Yang Jian^*; Fan Jingfan; Ai Danni; Wang Yongtian

来源：Journal of Medical Imaging and Health Informatics, 2015, 5(7): 1571-1574.

DOI：10.1166/jmihi.2015.1565

• Retinal Image Analysis
• Supervised Classification
• Gabor Wavelet
• Multi-Scale Vessel Filtering

We present an automated segmentation method for blood vessels in images of the ocular fundus. The method uses a supervised classification of vessels at each pixel based on its feature vectors. The feature vectors include the responses of the pixel to the multi-scale vessel enhancement filtering and Gabor filtering at multiple scales and multiple orientations. We use a support vector machine to extract the vessels. The performance of the proposed method is evaluated on a DRIVE database. The accuracy of the vessel segmentation reaches more than 95%, which indicates the effectiveness of the proposed method.

• 出版日期2015-11
• 单位北京理工大学