Multi-scale Morphologic Weak Edge Detection in Anterior Chamber OCT Images Based on Information Entropy Fusion

被引：0

作者：

Zhang Ang ^{[1
]}

Huang Siwei ^{[1
]}

Tian Xiaolin ^{[1
]}

Sun Yankui ^{[2
]}

机构：

[1] Macau Univ Sci & Technol, Macau, Peoples R China

[2] Tsinghua Univ, Beijing, Peoples R China

来源：

ISBE 2011: 2011 INTERNATIONAL CONFERENCE ON BIOMEDICINE AND ENGINEERING, VOL 1 | 2011年

关键词：

OCT image; Multi-scale morphology; Information entropy; Weak edge detection;

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Optical coherence tomography (OCT) has developed rapidly in recent years; edge detection of the central cornea in anterior chamber OCT image is an urgent problem in the area. A new weak edge detecting algorithm based on the classical morphological edge detecting algorithm has been proposed. The proposed algorithm expands the structuring elements at multi-scales to detect edges first, then calculates the entropy of the detected edges, and uses the ratio of the detected edge entropy and the total entropy in every detected edge image as the weight to fusion edge images together to obtain the final edges of the upper and lower corneal in anterior chamber OCT images. The testing results have shown that the proposed algorithm works well in anterior chamber OCT images. It could not only obtain more clear edges but also have better de-noise results.

引用

页码：67 / +

页数：3