大视场下线结构光光条中心的快速提取

张瑞瑛; 周萍; 冯煦; 李松; 舒强

大视场下线结构光光条中心的快速提取

1.
武汉大学电子信息学院,湖北武汉430079

详细信息

通讯作者:
张瑞瑛(1989-),女，湖北武汉人，武汉大学电子信息学院光信息科学与技术在读本科生,主要从事图像处理及超透镜成像等方面研究。

中图分类号: TP391.41
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出版历程
- 刊出日期: 2010-05-15

Rapid extraction of line-structured light stripe in large field of view

1.
School of Electronic Information,Wuhan University,Wuhan 430079,China

摘要

摘要: 在线结构光三维测量中，线结构光光条中心的提取是关键的一步。针对强背景光大视场下线结构光光条(长度约2m)中心的提取，提出了一种基于感兴趣区域(ROI)的光条中心提取方法。首先用统计的方法确定图像处理的ROI,再在此区域内用最大类间方差法进行阈值分割并用灰度重心法提取中心。结果表明：在Visual C++ 6.0平台上，处理一帧12801024大小的线结构光条图像大约用时47ms，且光条中心提取精度高。这种提取中心的方法很好地减弱了大视场下强背景光的干扰，提高了光条中心提取速度。
- 线结构光 /
- 光条中心 /
- 感兴趣区域 /
- 最大类间方差法 /
- 灰度重心法
Abstract: In three-dimensional testing systems based on line-structured light, extracting the center of a line-structured light stripe quickly and accurately is a key problem. To extract the center of line-structured light with a length of 2 meter in a large field of view and strong noise background, an exaction method based on region of interest (ROI) is proposed. Firstly, ROI for image processing is defined by using statistic method, then Otsu method is used for threshold segmentation and barycenter method is used to exact the center within ROI. Experiments showed that the extracting time of a 12801024 sized picture of a line-structured light was about 47ms in Visual C ++6.0 by the proposed method and the extraction was proved accurate. The proposed method reduces the interference of strong background noise in large field of view and improves the extraction speed of line-structured light.
- line structured light /
- light stripe center /
- region of interest (ROI) /
- Otsu method /
- barycenter method

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参考文献(1)

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