Retinal vessels segmentation based on level set and region growing |
| |
Authors: | Yu Qian Zhao Xiao Hong Wang Xiao Fang Wang Frank Y Shih |
| |
Affiliation: | 1. School of Geosciences and Info-physics, Central South University, Changsha, Hunan 410083, China;2. Ecole Centrale de Lyon, ICJ, UMR5205, F-69134, France;3. College of Computing Sciences, New Jersey Institute of Technology, Newark, NJ 07102, USA |
| |
Abstract: | Retinal vessels play an important role in the diagnostic procedure of retinopathy. Accurate segmentation of retinal vessels is crucial for pathological analysis. In this paper, we propose a new retinal vessel segmentation method based on level set and region growing. Firstly, a retinal vessel image is preprocessed by the contrast-limited adaptive histogram equalization and a 2D Gabor wavelet to enhance the vessels. Then, an anisotropic diffusion filter is used to smooth the image and preserve vessel boundaries. Finally, the region growing method and a region-based active contour model with level set implementation are applied to extract retinal vessels, and their results are combined to achieve the final segmentation. Comparisons are conducted on the publicly available DRIVE and STARE databases using three different measurements. Experimental results show that the proposed method reaches an average accuracy of 94.77% on the DRIVE database and 95.09% on the STARE database. |
| |
Keywords: | Retinal vessel segmentation 2D Gabor wavelet Level set Region growing |
本文献已被 ScienceDirect 等数据库收录! |
|