A MATLAB implementation of the skeletal similarity metric for quality evaluation of vessel segmentation. If you find the metrics useful, please cite the papers:
- M. E. Gegundez-Arias et al., “A function for quality evaluation of retinal vessel segmentations,” IEEE Trans. Med. Imag., vol. 31, no. 2, pp. 231–239, Feb 2012
- N. Strisciuglio et al., "Robust Inhibition-Augmented Operator for Delineation of Curvilinear Structures," in IEEE Transactions on Image Processing, vol. 28, no. 12, pp. 5852-5866, Dec. 2019. doi: 10.1109/TIP.2019.2922096
- Z. Yan, X. Yang, and K. -T. Cheng, "A skeletal similarity metric for quality evaluation of retinal vessel segmentation," IEEE Trans. Med. Imag., 2017.
SkeletalSimilarity.m is the main function of the calculation of skeletal similarity.
Run Example.m to compare the skeletal similarity metric with the traditional evaluation metrics Se, Sp, Acc and CAL.