[1] Chaudhuri S, Chatterjee S, Katz N et al. Detection of blood vessels in retinal images using two-dimensional matched filters[J]. IEEE Transactions on Medical Imaging, 8, 263-269(1989).

[2] Hoover A D, Kouznetsova V, Goldbaum M. Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response[J]. IEEE Transactions on Medical imaging, 19, 203-210(2000).

[3] Sofka M, Stewart C V. Retinal vessel centerline extraction using multiscale matched filters, confidence and edge measures[J]. IEEE Transactions on Medical Imaging, 25, 1531-1546(2006).

[4] Li Q, You J, Zhang D. Vessel segmentation and width estimation in retinal images using multiscale production of matched filter responses[J]. Expert Systems with Applications, 39, 7600-7610(2012).

[5] Wang X H, Zhao Y Q, Liao M et al. Automatic segmentation for retinal vessel based on multi-scale 2D Gabor wavelet[J]. Acta Automatica Sinica, 41, 970-980(2015).

[6] Meng L, Liu J, Cao H et al. Retinal vessel segmentation based on Frangi filter and Otsu algorithm[J]. Laser & Optoelectronics Progress, 56, 181004(2019).

[7] Ricci E, Perfetti R. Retinal blood vessel segmentation using line operators and support vector classification[J]. IEEE Transactions on Medical Imaging, 26, 1357-1365(2007).

[8] Soares J V B, Leandro J J G, Cesar R M et al. Retinal vessel segmentation using the 2-D Gabor wavelet and supervised classification[J]. IEEE Transactions on Medical Imaging, 25, 1214-1222(2006).

[9] Tang S Y, Lin T, Yang J et al. Retinal vessel segmentation using supervised classification based on multi-scale vessel filtering and Gabor wavelet[J]. Journal of Medical Imaging and Health Informatics, 5, 1571-1574(2015).

[10] Cai Y H, Gao X R, Qiu C Y et al. Retinal vessel segmentation method with efficient hybrid features fusion[J]. Journal of Electronics & Information Technology, 39, 1956-1963(2017).

[11] Zhu C Z, Cui J K, Zou B J et al. Retinal vessel segmentation based on multiple feature fusion and random forest[J]. Journal of Computer-Aided Design & Computer Graphics, 29, 584-592(2017).

[12] Liang L M, Liu B W, Yang H L et al. Supervised blood vessel extraction in retinal images based on multiple feature fusion[J]. Chinese Journal of Computers, 41, 2566-2580(2018).

[13] Wu C Y, Yi B S, Zhang Y G et al. Retinal vessel image segmentation based on improved convolutional neural network[J]. Acta Optica Sinica, 38, 1111004(2018).

[14] Zheng T Y, Tang C, Lei Z K. Multi-scale retinal vessel segmentation based on fully convolutional neural network[J]. Acta Optica Sinica, 39, 0211002(2019).

[15] Yin B J, Li H T, Sheng B et al. Vessel extraction from non-fluorescein fundus images using orientation-aware detector[J]. Medical Image Analysis, 26, 232-242(2015).

[16] Niemeijer M. Staal J, van Ginneken B, et al. Comparative study of retinal vessel segmentation methods on a new publicly available database[J]. Proceedings of SPIE, 5370, 648-656(2004).

[17] Arneodo A, Decoster N, Roux S G. A wavelet-based method for multifractal image analysis. I. Methodology and test applications on isotropic and anisotropic random rough surfaces[J]. The European Physical Journal B-Condensed Matter and Complex Systems, 15, 567-600(2000).

[18] Zhang B, Zhang L, Zhang L et al. Retinal vessel extraction by matched filter with first-order derivative of Gaussian[J]. Computers in Biology and Medicine, 40, 438-445(2010).