Abstract：The size error of air rivets can increase the possibility of aviation accidents. To enhancing the precision and intelligence of size detection for air rivets, a kind of method based on machine vision was used. The size error of air rivets can be eliminated by the automatic identification and detection of rivets depending on the edge detection algorithm. Based on the production standards of air rivets, the requirements of various dimensional parameters and the processes of the events were obtained. Using OpenCV as the development platform, the image segmentation was finished by the threshold segmentation algorithm and watershed algorithm. Meanwhile, the image processing was completed by smoothing, morphology and contour extraction algorithm. The test results showed that the accurateness of the size results with the actual value was more than 90% under the accuracy of ±0.005mm.
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2020, Vol. 41 
