Palpebral fissure morphology segmentation and measurement using image processing - A semi-automated method for detecting eyelid-related pathologies

被引：10

作者：

Souza, ADA

Ruiz, EES

Cruz, AAV

机构：

[1] Univ Sao Paulo, Fac Filosofia Ciencias & Letras Ribeirao Pret, Dept Fis & Matemat, BR-14040901 Ribeirao Preto, Brazil

[2] Univ Sao Paulo, FMRP, Dept Oftalmol & Otorrinolaringol, Sao Paulo, Brazil

来源：

IEEE ENGINEERING IN MEDICINE AND BIOLOGY MAGAZINE | 2000年 / 19卷 / 01期

基金：

巴西圣保罗研究基金会;

关键词：

D O I：

10.1109/51.816252

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

A novel approach for extracting significant features of the palpebral contour of the human eye in order to assist eyelid-related pathologic diagnosis is presented. Image processing techniques are used to better perform palpebral morphology analysis and quantification. It consists of a semi-automated method to detect eyelid contour using a Laplacian-of-Gaussian (LoG) operator. The main advantage of this approach is to avoid subjectivity of the traditional clinical approach.

引用

页码：114 / 119

页数：6