Eyebrow image segmentation based on semi-supervised learning

doi:10.3778/j.issn.1002-8331.2009.21.041

Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (21): 139-141.DOI: 10.3778/j.issn.1002-8331.2009.21.041

• 理论科学研究 • Previous Articles Next Articles

Eyebrow image segmentation based on semi-supervised learning

ZHANG Chen-guang，LI Yu-jian

ollege of Computer Science and Technology，Beijing University of Technology，Beijing 100124，China

Received:2009-05-04 Revised:2009-06-08 Online:2009-07-21 Published:2009-07-21
Contact: ZHANG Chen-guang

基于半监督学习的眉毛图像分割方法

张晨光，李玉鑑

北京工业大学计算机学院，北京 100124

通讯作者: 张晨光

Abstract

Abstract: Eyebrow image segmentation is a very difficult problem due to the influence of hair，posture and individual eyebrow difference.This paper proposes a semi-supervised learning method to segment colorized eyebrow image.The method first labels a number of eyebrow and non-eyebrow points by manually drawing several simple lines on eyebrow image，and then uses a semi-supervised learning technique to segment and extract pure eyebrow part.Experiments show that it can achieve a very good segmentation and can be used to preprocess eyebrow image before recognition.

Key words: semi-supervised, image segmentation, eyebrow recognition, feature extraction

摘要： 眉毛图像的分割，由于受到毛发、姿势及个体差异的影响，是一个非常困难的问题。提出了一种利用半监督学习技术进行彩色眉毛图像分割的方法，首先通过手工在眉毛图像上简单画上几条线标注部分眉毛点和非眉毛点，然后利用半监督学习技术完成眉毛图像分割并从中提取纯眉毛图像，最后通过实验说明该方法具有非常好的分割效果，可用于眉毛识别的前期预处理。

关键词: 半监督学习, 图像分割, 眉毛识别, 特征提取

ZHANG Chen-guang，LI Yu-jian. Eyebrow image segmentation based on semi-supervised learning[J]. Computer Engineering and Applications, 2009, 45(21): 139-141.

张晨光，李玉鑑. 基于半监督学习的眉毛图像分割方法[J]. 计算机工程与应用, 2009, 45(21): 139-141.

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Eyebrow image segmentation based on semi-supervised learning

基于半监督学习的眉毛图像分割方法

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