通信学报2017，Vol.38Issue(4)：158-165,8.DOI:10.11959/j.issn.1000-436x.2017087
基于黄斑距离优化的视网膜OCT图像层次分割方法
Optimum hierarchical segmentation of OCT images in retina based on macular distance
摘要
Abstract
Retina layering was the basis of optic disc structure analysis and 3D feature extraction of glaucoma.In order to improve the layering effect of retinal OCT images,an intensity based multilayer segmentation algorithm for two-dimensional retinal OCT images was proposed.Through preprocessing and filtering operation,the segmentation algorithm calculated the intensity and intensity gradient of each A-scan in the retinal OCT image to obtain the upper bound RNFL,the dividing line IS and OS,and the lower bound RPE.Then macular distance strategy,calculated by the shortest distance,was used to further optimize the layering result of macular area,so as to achieve layering segmentation of the retinal OCT images.The experimental results show the algorithm has good optimization effect,low time complexity and fast running speed.关键词
视网膜/黄斑/光学相干断层扫描/图像分割Key words
retina/macular/optical coherence tomography/image segmentation分类
信息技术与安全科学引用本文复制引用
李建锋,鲁易周..基于黄斑距离优化的视网膜OCT图像层次分割方法[J].通信学报,2017,38(4):158-165,8.基金项目
国家自然科学基金资助项目(No.61562029,No.61262032,No.61462029) （No.61562029,No.61262032,No.61462029）
湖南省自然科学基金资助项目(No.2015JJ3100)The National Natural Science Foundation of China (No.61562029,No.61262032,No.61462029),The Natural Science Foundation of Hunan Province (No.2015JJ3100) （No.2015JJ3100）
