国产欧美精品一区二区,中文字幕专区在线亚洲,国产精品美女网站在线观看,艾秋果冻传媒2021精品,在线免费一区二区,久久久久久青草大香综合精品,日韩美aaa特级毛片,欧美成人精品午夜免费影视

The car lock catch is an important component for ensuring the safe operation of vehicles. Since traditional methods for measuring the riveting points of lock catch have the disadvantages of instability and low accuracy, a detection method based on machine vision is proposed. Firstly, doing the camera calibration, the shooting impacts are eliminated through preprocessing. And the measurement coordinate system is established by extracting geometric characteristics of the lock catch, utilizing affine transformation to eliminate the geometry distortion of the images. Then the ROI (Regions of Interest) where riveting points lie is set to separate the riveting points from the background to become an independent image unit, the gradient sharpening is adopted to enhance the image edge, and a traditional sharpening method is improved according to the characteristics of ROI. Finally, using randomized Hough transform, the riveting points’ contours are extracted respectively from the images before and after improvement, the riveting points’ diameters are measured and compared. Experiments show that the diameter of riveting points is more accurate in the improved images, and the detection accuracy can reach 0.032 mm, which meets the detection requirement. The proposed method is suitable for online riveting points measurement with high precision, thus has important application value.