CAJ | 학술논문

为了提高基于结构光的条盒三维视觉检测中尺寸测量的准确度，研究和提出了霍夫变换和最小二乘法相结合的结构光中心线提取方法。首先，依据图像颜色模型的R、G、B分量差值并结合中值滤波对目标结构光分进行分割提取；其次，分别对绿光与红光区域进行多次迭代细化处理获取骨架；然后，根据霍夫变拟合的直线段对目标点集进行分类；最后，使用最小二乘法分别对不同的点集进行分段拟合，获取结构光中心线。实验结果表明，该方法能够准确地提取出结构光光条中心，具有良好的稳定性，为条盒三维视觉检测工作提供了准确的数据依据。
위료제고기우결구광적조합삼유시각검측중척촌측량적준학도，연구화제출료곽부변환화최소이승법상결합적결구광중심선제취방법。수선，의거도상안색모형적R、G、B분량차치병결합중치려파대목표결구광분진행분할제취；기차，분별대록광여홍광구역진행다차질대세화처리획취골가；연후，근거곽부변의합적직선단대목표점집진행분류；최후，사용최소이승법분별대불동적점집진행분단의합，획취결구광중심선。실험결과표명，해방법능구준학지제취출결구광광조중심，구유량호적은정성，위조합삼유시각검측공작제공료준학적수거의거。
In order to improve the accuracy of case three-dimensional measuring system based on structured light, the extraction method of light stripes center based on Hough transform and least square was proposed. Firstly, the target structured light was segmented by the median filter and threshold segmenting method which uses the difference of R, G and B in color model. Secondly, multiple iterative thinning was used to deal with the green light area and red light area respectively to obtain their skeleton. Thirdly, the points were classified according to the lines which are obtained by Hough transform. Finally, least square was used to fit the points sectionalized and obtain the center line. A series of experiments have been performed to test the proposed method. It is proven that the proposed automatic extraction method is effective and advanced.