Embranchment Labelling and Application on the Rail Measurement

摘要：

Automatic detecting of rail profile based on computer vision usually uses the optical-section method. The light strip with some important geometry information of the rail surface image is achieved. However,when the sun is on the horizonfearly morning and dusk),the noise will appear,and it is difficult to achieve and recognize the light strip correctly if the noise is not removed. This paper aims to remove the noise using algorithm of embranchment labeling for the next thinning and adjustment. After the image is binaried using fixed threshold and the connected components labeled,the parameter of each branch and the intersection table which is the base of collecting the labels can be obtained. According to the feature parameter of each connectivity computed,the light strip of rail profile is then extracted,and the noise removed. The algorithm can support parallel computation. A good effect is achieved on the scene testing of rail auto measurement.

关键词： Embranchment labeling connectivity recognition rail measurement

作者: CaiXia Li Yongping Huang HaiNan Long ChunHua Zhang

作者单位: Department of Electronic and Information Engineering,Hebei university Baoding 071002,China

会议类型: 国际会议

会议名称: 2009 9th International Conference on Electronic Measurement & Instruments(第九届电子测量与仪器国际会议 ICEMI2009)

会议地点: 北京

会议语种:英文

页码: 1523-1526

在线出版日期: 2009-08-16（万方平台首次上网日期，不代表论文的发表时间）