线结构光光条中心提取的变阈值分割算法

Multi-Threshold Segmentation for Center Extraction of Structured Light Stripe

提出了基于大津阈值(Otsu)的变阈值分割算法,有效地解决了结构光与物体相交形成的光条光强分布不均时,光条信息易缺失的问题,同时也避免对背景的过度分割。与灰度重心法、Steger法提取中心线的结果对比表明,本文方法能保留更完整的光条信息。

Based on Otsu method,a multi-threshold segmentation method is proposed.It solves the problem of easy information-missing of light stripe caused by the uneven distribution of light intensity of light stripe formed by structured light intersecting object surfaces.The proposed method also avoids over segmenting backgrounds.In order to extract center line of structured light stripe after noise reduction,the geometric center method is applied on the binary image,and then segmented by multi threshold method.The result comparisons between the proposed method,the gray weighted method and Steger method,prove that this method can preserve more complete light stripe and it is propitious to subsequent construction with higher precision and denser 3D point clouds.