Automatic Detection Specular Reflection Components in Leaf Images based on GMM

摘要：

Specular reflection components can cause erroneous results on segmentation and recognition in vision algorithms. Forest inventory produce a lot of leaf images in natural light. Some of them have specular reflection components which cause a major obstacle in the way of automatic segmentation of such images. This paper proposes a method based on Gaussian Mixture Model (GMM) to detect the specular reflection components in leaf images. The method can separate the highlights from its neighborhood accurately. First, the coarse specular reflection components are found using Retinex Algorithm. Second, using RGB color channels of the coarse specular reflections individually to train the GMM and get the final highlights. The experiment results show that the proposed method can find almost the specular reflection components.

关键词： specular reflection components highlights GMM Retinex leaf image

作者: HuiFu Xinyuan Huang

作者单位: School of Information Science & Technology Beijing Forestry University Beijing, China

会议类型: 国际会议

会议名称: 2010 Second Asia-Pacific Conference on Information Processing(2010年第二届亚太地区信息处理国际会议 APCIP 2010)

会议地点: 南昌

会议语种:英文

页码: 315-318

在线出版日期: 2010-09-17（万方平台首次上网日期，不代表论文的发表时间）