The extraction of center lines from light fringes is a crucial step in line-structure light measurement,as the ex-traction accuracy directly affects the measurement speed and precision.In response to the low extraction accuracy issue in traditional Steger algorithm due to large variations in light fringe width and excessive redundant points,an improved Steger-based fast and high-precision method for extracting center lines from light fringes is proposed in this paper.First of all,the original image of light fringes is preprocessed to remove noise points and retain the region of interest.Then,the width of light fringes is rapidly obtained by directly traversing pixel points,followed by Canny edge detection on the fringe area and calculation of pixel initial points using the geometric center method.Finally,a one-dimensional convolu-tion is performed on the initial points to construct the Hessian matrix,enabling further precise extraction of the center line along the normal direction.Experimental results demonstrate that this algorithm improves accuracy by 42.6％com-pared to the traditional Steger algorithm and reduces processing time by 64.5％,thus achieving precise sub-pixel level extraction of light fringes while meeting the real-time requirements of industrial measurement.
关键词
线结构光测量/光条纹中心线提取/Steger算法/Canny边缘检测/几何中心法
Key words
line structure light measurement/light fringe centerline extraction/Steger algorithm/Canny edge detection/geometric center method
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