A Hierarchical Image Matting Model for Blood Vessel Segmentation in Fundus Images
@article{Fan2017AHI, title={A Hierarchical Image Matting Model for Blood Vessel Segmentation in Fundus Images}, author={Zhun Fan and Jiewei Lu and Caimin Wei and Han Huang and Xinye Cai and Xinjian Chen}, journal={IEEE Transactions on Image Processing}, year={2017}, volume={28}, pages={2367-2377} }
In this paper, a hierarchical image matting model is proposed to extract blood vessels from fundus images. More specifically, a hierarchical strategy is integrated into the image matting model for blood vessel segmentation. Normally, the matting models require a user specified <italic>trimap</italic>, which separates the input image into three regions: the foreground, background, and unknown regions. However, creating a user specified trimap is laborious for vessel segmentation tasks. In this…
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