基于改进灰度重心法的光带中心提取算法

Improved gray centroid method for extracting the centre-line of light-stripe

在线结构光三维测量中,由于线结构光光源质量、物体表面反射率非均匀性以及表面粗糙性等因素的影响,激光光带经常会出现宽度不均匀,光带亮度不集中、离散性较大的现象。本文提出一种改进灰度重心法提取激光光带中心线,该算法基于自适应二值化处理得到光带各列法向宽度值以及光带的准确边界。然后,利用光带边界与灰度数据进行灰度重心计算确定出光带的中心位置。结果证实,改进算法中灰度重心的计算范围与光带宽度相一致,因而具有较高的提取精度和良好的适应性。

In three-dimensional testing systems based on line structured-light,due to the effect of the line structured-light quality and the nonuniform of object surface reflectivity as well as the surface roughness,the laser stripe often appears some problems such as the uneven width,non-concentrated brightness and larger discreteness.An improved gray centroid method to extract the center line of laser strip was proposed.Based on the adaptive binarization processing,the normal widths of each column and accurate edge of the light stripe were obtained.Then,according to light stripe＇s edge and gray data,the center of light stripe was calculated by the gray centroid method.The results prove that the calculated range of centroid in the improved method is consistent with light strip width,so it has high extraction accuracy and good adaptability.