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Accurate profile measurement method for industrial stereo-vision systems
Sensor Review ( IF 1.6 ) Pub Date : 2020-06-15 , DOI: 10.1108/sr-04-2019-0104
Yang Zhang , Wei Liu , Yongkang Lu , Xikang Cheng , Weiqi Luo , Hongtu Di , Fuji Wang

Profile measurement with boundary information plays a vital role in the detection of quality in the assembly of aviation parts. The purpose of this paper is to improve the evaluation accuracy of the aerodynamic shapes of airplanes, the profiles of large-sized parts need to be measured accurately.,In this paper, an accurate profile measurement method based on boundary reference points is proposed for the industrial stereo-vision system. Based on the boundary-reference points, the authors established a priori constraint for extracting the boundary of the measured part. Combining with the image features of background and the measured part, an image-edge compensation model is established to extract the boundary of the measured part. The critical point of a laser stripe on the edge of the measured part is extracted corresponding to the boundary constraint. Finally, as per the principle of binocular vision, the profile of the measured part is reconstructed.,Laboratory experiments validate the measurement accuracy of the proposed method which is 0.33 mm. In the analysis of results between the measured data and the theoretical model, the measuring accuracy of the proposed method was found to be significantly higher than that of the other traditional methods.,An aviation part was measured in the part-assembly shop by the proposed method, which verified the feasibility and effectiveness of this method. The research can realize the measurement of smooth surface boundary which can solve existing profile reconstruction problems for aviation parts.,According to the two-dimensional contour constraint, critical points of the laser strip sequence at the edge of measured part are extracted and the accurate profile reconstruction with the boundary is realized.

中文翻译:

工业立体视觉系统的精确轮廓测量方法

带边界信息的轮廓测量在航空零件装配质量检测中起着至关重要的作用。本文的目的是为了提高飞机气动外形的评估精度,大尺寸零件的轮廓需要精确测量。,本文提出了一种基于边界参考点的精确轮廓测量方法。工业立体视觉系统。基于边界参考点,作者建立了用于提取被测部分边界的先验约束。结合背景和被测部分的图像特征,建立图像边缘补偿模型,提取被测部分的边界。与边界约束相对应地提取被测部分边缘的激光条纹的临界点。最后,根据双目视觉原理,重建被测部位的轮廓,实验室实验验证了所提方法的测量精度为0.33 mm。对实测数据与理论模型结果进行分析,发现所提方法的测量精度明显高于其他传统方法。,本文对某航空零件在零件总装车间进行了测量。方法,验证了该方法的可行性和有效性。该研究可以实现对光滑表面边界的测量,解决现有的航空零件轮廓重建问题。
更新日期:2020-06-15
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