基于块匹配的激光条纹亚像素中心提取

Sub-pixel extraction of laser stripe center based on block-matching

线结构光进行三维测量时获取的结构光图像易受噪声干扰,影响了光条中心提取精度,进而限制测量系统精度。为减少噪声干扰,提高光条中心坐标提取精度,提出了一种基于块匹配的光条中心提取方法。通过骨架细化算法初步提取光条像素中心,在每个像素中心周围生成包含其邻域信息的图像块,通过块匹配寻找结构光图像中的相似光条结构,求取具有相似结构的光条中心坐标均值作为最终坐标中心。通过仿真分析和实验验证,该算法能够有效抑制图像噪声影响,提高了光条中心提取精度。

The structured light image obtained when the line structured light is used for three-dimensional measurement is susceptible to noise′s interference,which affects the accuracy of the center of the light stripe and limits the accuracy of the measurement system.In order to reduce the interference of random noise and improve the accuracy of light stripe center coordinate extraction,a light stripe center extraction method based on block-matching is proposed.The skeleton thinning algorithm is used to initially extract the pixel center of the light stripe,generate image blocks around the center pixel contain the neighborhood information of each pixel center,then find the similar light stripe structures among the structured light image blocks through block-matching,and use the similar structure to obtain the average value of the center coordinate of the light stripe as the final coordinates.Through simulation analysis and experimental analysis,the algorithm can effectively suppress the influence of image noise and improve the accuracy of light strip center extraction.