天津工业大学学报2018，Vol.37Issue(1)：54-61,8.DOI:10.3969/j.issn.1671-024x.2018.01.010
基于改进型Gbvs模型的眼底图像视盘检测方法
Optic disc detection method based of fundus image on modified Gbvs model
摘要
Abstract
For resolving the problem that the visual features of optic disc(OD)were not utilized efficiently in existing methods of(OD)localization,improving the location accuracy and segementation accuracy,a new OD detection method combining visual attention mechanism and phase congruency is presented. Firstly, Gbvs model is improved by extracting three types of features including intensity, contrast and phase congruency(PC)which accords with human visual perception characteristics, and the modified Gbvs model is used to obtain saliency map.Then,the total saliency map is scanned using a sliding window,where the highest significance is scanned as the center of(OD).Finally,the main blood vessels around(OD)vicinity are removed and the boundary of(OD)is detected using C-V model.This method is tested on MESSIDOR dataset,and its average test result is 98.83% which is higher than existing representative methods. The experimental results show that the proposed method has higher location accuracy and segmentation accuracy.关键词
视觉注意机制/相位一致性/视觉特征/Gbvs模型/眼底图像/视盘检测Key words
visual attention mechanism/phase congruency(PC)/visual feature/Gbvs model/fundus image/optic disc detection分类
信息技术与安全科学引用本文复制引用
吴骏,张亚男,肖志涛,耿磊,张芳,杨嵩,张东霞,宋舒雅..基于改进型Gbvs模型的眼底图像视盘检测方法[J].天津工业大学学报,2018,37(1):54-61,8.基金项目
国家自然科学基金资助项目(61401439) （61401439）
天津市科技支撑计划重点项目(13ZCZDGX02100) （13ZCZDGX02100）
天津市应用基础与前沿技术研究计划项目(15JCYBJC16600) （15JCYBJC16600）
高等学校博士学科点专项科研基金(20131201110001) （20131201110001）
