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. Author manuscript; available in PMC: 2019 Aug 24.
Published in final edited form as: Pattern Recognit. 2018 Oct 9;87:38–54. doi: 10.1016/j.patcog.2018.09.015
Algorithm 2 Vessel segmentation.
Input: Initial vessel layer image Iiv (a frame of S from Algorithm 1).
1: Otsu threshold all Iivs to get binary mask MOs;
2: Calculate the Radon-Like features of Iiv, the resulted RLF image is denoted by Riv;
3: Phansalkar threshold Riv to get mask MP;
4: Remove regions smaller than a fixed size ts, from MP;
5: Take the foreground pixels in MP as seeds, do conditional dilation in MO, the result mask image is denoted by Mc;
6: Merge the foreground regions in MP and Mc, together to get the final mask image MV.
Output: Binary vessel mask image, MV.