Research On Key Dimension Detection Algorithm Of Auto Parts Based On Hough Transformation

Abstract

Based on auto valve seat ring and the size of the spur gear slotting detection as an example, the visual inspection method is used to measure the key dimensions. Image feature recognition method based on Hough transform is put forward, and the size detecton algorithm is designed on this basis. this paper expounds the problems existing in the process of feature recognition, and adopt different methods to solve. Finally, the detection accuracy is verified. Inside of the valve seat diameter detection process, test results is not accurate because of the uncertainty in parameters, and multiple characteristics identification results. In order to solve this problem, in the algorithm design limiting detection range of valve seat ring diameter, the detection accuracy is higher, faster. Delimiting the scope of testing method has been used in solid round edge detection, this paper uses the method to detect hollow circular edge. In the feature recognition and dimension detection of spur gear kyway keyway, due to the similarity of some features of the keyway and spur gear teeth, which are straight lines, features of spur gear teeth appear in the identification results. The data that interfered with the size measurement of keyway appeared in the size measurement results. Because the size of the line segment on the tooth is much smaller than the size of the keyway, the detection result of the keyway size is obtained by using the data statistics method to exclude the data with too large difference from the actual value.