Visual Lip Segmentation in patients with Cleft Lip and/or Cleft Palate

被引：0

作者：

Leonardo Jutinico, Andres ^{[1
]}

Prieto, Flavio ^{[1
]}

机构：

[1] Univ Nacl Colombia, Grp Invest Automat GAUNAL, Bogota, Colombia

来源：

2011 IEEE ELECTRONICS, ROBOTICS AND AUTOMOTIVE MECHANICS CONFERENCE (CERMA 2011) | 2011年

关键词：

Lip segmentation; Fuzzy C-Means; snakes;

D O I：

10.1109/CERMA.2011.84

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Lip segmentation in patients with cleft lip and/or cleft palate is a process that can be carried out by using the skin and lip colors as a base. This study proposes an algorithm capable of detecting the external lip edge. The algorithm detects the face region by identifying color and then the lips are segmented by using snake and fuzzy c-means. The segmentation was tested on 91 face images achieving a sensitivity of 0.98 and a specificity of 0.90. The specific contribution of this paper focuses on performing the segmentation of the lips without relying on geometric features of the face, location of the eyes or of the typical artifacts of clinical instrumentation in patients with CLP

引用

页码：114 / 119

页数：6

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