激光与光电子学进展, 2020, 57 (8): 081023, 网络出版: 2020-04-03
基于Hessian的方向自适应Gabor小波的视网膜血管分割 下载: 1554次
Retinal Blood Vessel Segmentation Using Hessian Based Orientational Adaptive Gabor Wavelet
图像处理 视网膜血管分割 方向自适应 Hessian矩阵 Gabor小波变换 支持向量机 image processing retinal blood vessel segmentation orientational adaptation Hessian matrix Gabor wavelet transform support vector machine
摘要
视网膜血管分割是构建眼底图像分析和计算机辅助疾病诊断系统的关键环节。提出了一种基于Hessian的方向自适应Gabor小波的视网膜血管分割方法,根据Hessian矩阵的本征向量获得血管走向,并将其作为Gabor小波变换的方向角;提取出4个尺度的方向自适应Gabor小波特征,结合Hessian矩阵的大本征值构建5维的视网膜血管特征;采用支持向量机进行眼底图像像素分类实现血管分割。所提方法能准确感知血管方向,只需计算此方向下Gabor小波的滤波响应,减小了特征提取的计算量,实现了Hessian矩阵大本征值与Gabor小波特征较好的互补性。利用所提方法在DRIVE数据库进行实验,获得较好的分割性能,所提方法对细小血管的提取和对分叉、交叉处血管点的检测表现出良好的效果。
Abstract
Retinal blood vessel segmentation is one of the key components in the construction of fundus image analysis and computer-aided disease diagnosis systems. In this paper, a method of retinal blood vessel segmentation using Hessian-based orientational adaptive Gabor wavelet is proposed. According to the eigenvector of the Hessian matrix, the orientation of the blood vessel is obtained and set as the direction angle of the Gabor wavelet transform. By extracting the features of the four-scale orientational adaptive Gabor wavelet in combination with the large eigenvector of the Hessian matrix, five-dimensional retinal blood vessel features are constructed. The segmentation of the blood vessels can thus be realized through classifying the pixels of the fundus images with the support vector machine. The proposed method can accurately sense the direction of the blood vessel by only calculating the filtering response of the Gabor wavelet in this direction, which reduces the computational complexity of the feature extraction and achieves good complimentary between the large eigenvalues of the Hessian matrix and Gabor wavelet features. Experiments using the proposed method are performed on the DRIVE database to obtain better segmentation performance. The proposed method shows good performance in the extraction of small blood vessels and in the detection of vascular points at bifurcation and intersection.
王文斌, 李灿标, 郑楚君. 基于Hessian的方向自适应Gabor小波的视网膜血管分割[J]. 激光与光电子学进展, 2020, 57(8): 081023. Wenbin Wang, Canbiao Li, Chujun Zheng. Retinal Blood Vessel Segmentation Using Hessian Based Orientational Adaptive Gabor Wavelet[J]. Laser & Optoelectronics Progress, 2020, 57(8): 081023.