Automated Optic Disc Detection in Retinal Images by Applying Region-based Active Aontour Model in a Variational Level Set Formulation
An efficient optic disk localization and segmentation are important tasks in an automated retinal image analysis system.General-purpose edge detection algorithms often fail to segment the optic disk due to fuzzy boundaries,inconsistent image contrast or missing edge features.This paper presents a method to automatically locate and boundary detect of the optic disk.The detection procedure comprises two independent methodologies.On one hand,a location methodology obtains a pixel that belongs to the OD using iterative thresholding method followed by Principal Component Analysis techniques (PCA) and,on the other hand,a boundary segmentation methodology estimates the OD boundary by applying region-based active contour model in a variational level set formulation (RSF).The method uses an improved geometric active contour model which can not only solve the boundary leakage problem but also is less sensitive to intensity inhomogeneity The results from the RSF method were compared with conventional optic disk detection using a geometric active contour models (ACM) and later verified with hand-drawn ground truth.Results indicate 89 % accuracy for identification and 95.05 % average accuracy in localizing the optic disc boundary.
Fundus images Optic disk detection PCA a variational level set method
Jihene Malek Mariem Ben Abdallah Asma Mansour Rached Tourki
Electronics and MicroelectronicsLaborotory University of Monastir Electronics and Microelectronics Laborotory University of Monastir
国际会议
厦门
英文
1-6
2012-12-16（万方平台首次上网日期，不代表论文的发表时间）