Spur gear pitch deviation detection based on machine vision

Aiming at the current situation of high difficulty and low accuracy in measuring the spur gear pitch deviation, this paper detects the spur gear pitch deviation based on machine vision technology. The gear image is acquired by the machine vision system, and the improved Zernike moment sub-pixel edge detection algorithm is used to detect the gear edge; The geometric center of the gear is obtained by the center of gravity method, the number of teeth is obtained by the statistical connected region method, the radius of the tooth crest circle is calculated by the convex hull method, and the radius of the tooth root circle is calculated. The modulus is calculated by the formula of the tooth crest circle, and the radius of the indexing circle is calculated by the formula of the indexing circle; According to the measurement results, the measurement method of gear pitch deviation is given. Through the comparison and analysis between the measurement results and the actual size of spur gears, the rationality of the algorithm in this paper is proved, and the effective detection of gear pitch deviation can be realized.