Abstract
The morphological and structural changes of retinal vessels are very important for the early diagnosis of many diseases. In view of the characteristics of retinal vessels, we present a new method for vessel segmentation based on BP neural network. This method consists of four steps: histogram equalization of green channel, morphological processing, Gaussian matched filter and Hessian matrix. The fundus vessels are segmented by BP neural network. We conduct the experiments on DRIVE and STARE database. The experiment results show that our method has good effect on the segmentation of fundus retinal vessels.x
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Xia, H., Deng, S. (2016). A Method of Vessel Segmentation Based on BP Neural Network for Color Fundus Images. In: You, Z., et al. Biometric Recognition. CCBR 2016. Lecture Notes in Computer Science(), vol 9967. Springer, Cham. https://doi.org/10.1007/978-3-319-46654-5_42
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DOI: https://doi.org/10.1007/978-3-319-46654-5_42
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