基于改进Steger算法流程的线激光中心提取

Line laser center extraction based on improved Steger algorithm

在三维测量与重建过程中,线激光条纹中心的提取尤为重要,Steger算法由于运算量巨大,无法满足工业中实时性的要求。为了解决Steger算法运算量大、提取效率低的问题,本文提出了基于改进Steger算法流程的线激光中心提取方法,主要用于提高光条中心提取效率。首先通过滤波和形态学方法对图片进行预处理去除噪声。其次,将灰度化图像进行阈值分割,降低图像复杂度。最后,通过提取感兴趣区域、粗略估算光条宽度降低算法冗余度,再运用Steger算法对感兴趣区域内光条进行中心提取。通过实验数据分析,改进后的Steger算法流程与传统Steger算法相比较,不仅继承了传统Steger算法优良的稳定性,而且有效地提高了光条纹中心提取效率,为实时进行三维重建与测量打下了基础。

In the process of three-dimensional measurement and reconstruction,the extraction of the center of line laser stripe is particularly important.Steger algorithm can not meet the real-time requirements of industry due to its huge amount of calculation.In order to solve the problem that Steger algorithm has a large amount of computation and low extraction efficiency,a line laser center extraction method based on the improved Steger algorithm flow is proposed in this paper,which is mainly used to improve the extraction efficiency of light bar center.Firstly,the image is preprocessed by filtering and morphological methods to remove noise.Secondly,the gray image is thresholded to reduce the complexity of the image.Finally,the redundancy of the algorithm is reduced by extracting the region of interest,roughly estimating the width of the light bar,and then the Steger algorithm is used to extract the center of the light bar in the region of interest.Through the analysis of experimental data,compared with the traditional Steger algorithm,the improved Steger algorithm not only inherits the excellent stability of the traditional Steger algorithm,but also effectively improves the efficiency of light stripe center extraction,laying a foundation for real-time 3D reconstruction and measurement.