Measurement method of arc dimension of slide section based on machine vision

In order to solve the problems of low efficiency and poor consistency in manual detection of the arc dimension of the slide section of car seat, a measuring method based on the combination of caliper edge detection and Tukey algorithm was proposed, which realized the detection of the arc dimension of the slide section with high efficiency and high precision. First, the collected images were processed by bilateral filtering to remove the noise in the images, and a emphasize operator in the HALCON algorithm library was used to process the images and highlight the edge information of the images. Then the arc edge points were extracted by caliper edge detection algorithm. Finally, the outliers were separated by the least square method of weighted Tukey and the circle fitting was completed. The experimental results showed that this method could realize the rapid detection of the arc dimension of the slide section, and the measuring system had a good stability and high reliability. The measuring errors were all within 0.08 mm, and the repeated measurement accuracy could reach 0.02 mm.