College of Electronic Information Engineering, Changchun University, Changchun 130012, China.
School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China.
Sensors (Basel). 2022 Feb 7;22(3):1258. doi: 10.3390/s22031258.
The accurate segmentation of retinal vascular is of great significance for the diagnosis of diseases such as diabetes, hypertension, microaneurysms and arteriosclerosis. In order to segment more deep and small blood vessels and provide more information to doctors, a multi-scale joint optimization strategy for retinal vascular segmentation is presented in this paper. Firstly, the Multi-Scale Retinex (MSR) algorithm is used to improve the uneven illumination of fundus images. Then, the multi-scale Gaussian matched filtering method is used to enhance the contrast of the retinal images. Optimized by the Particle Swarm Optimization (PSO) algorithm, Otsu algorithm (OTSU) multi-threshold segmentation is utilized to segment the retinal image extracted by the multi-scale matched filtering method. Finally, the image is post-processed, including binarization, morphological operation and edge-contour removal. The test experiments are implemented on the DRIVE and STARE datasets to evaluate the effectiveness and practicability of the proposed method. Compared with other existing methods, it can be concluded that the proposed method can segment more small blood vessels while ensuring the integrity of vascular structure and has a higher performance. The proposed method has more obvious targets, a higher contrast, more plentiful detailed information, and local features. The qualitative and quantitative analysis results show that the presented method is superior to the other advanced methods.
视网膜血管的精确分割对于糖尿病、高血压、微动脉瘤和动脉硬化等疾病的诊断具有重要意义。为了分割更深和更小的血管，并向医生提供更多信息，本文提出了一种多尺度联合优化策略的视网膜血管分割方法。首先，使用多尺度视网膜增强（MSR）算法来改善眼底图像的光照不均匀性。然后，使用多尺度高斯匹配滤波方法来增强视网膜图像的对比度。通过粒子群优化（PSO）算法进行优化，采用 Otsu 多阈值分割（OTSU）对多尺度匹配滤波方法提取的视网膜图像进行分割。最后，对图像进行后处理，包括二值化、形态学操作和边缘轮廓去除。在 DRIVE 和 STARE 数据集上进行了测试实验，以评估所提出方法的有效性和实用性。与其他现有方法相比，可以得出结论，所提出的方法可以在保证血管结构完整性的同时分割更多的小血管，并且具有更高的性能。所提出的方法具有更明显的目标、更高的对比度、更丰富的详细信息和局部特征。定性和定量分析结果表明，所提出的方法优于其他先进的方法。
