关键词: Gabor滤波器, 微粒群算法, 视网膜血管提取, 灰度-梯度共生矩阵

Abstract: In terms of the special gray distribution and region structure in retinal image, a novel blood vessel segmentation method based on Particle Swarm Optimization（PSO） and gray level-gradient co-occurrence matrix is proposed in this paper. The Gabor wavelet is taken to enhance vessels, then the maximum entropy of the gray level-gradient co-occurrence matrix optimizes and the best threshold value is received by PSO, after the retinal image’s binarization, the mathematical morphology is applied to extract the vessels region by analysis of region connectivity. The experiments implemented on the Hoover database indicate that the efficiency of the proposed approach, and this blood vessel segmentation method is better than the Hoover algorithm.

Key words: Gabor filters, particle swarm optimization, retinal vessel segmentation, gray level-gradient co-occurrence matrix