Dr. Kui Li Profile

Dr. Kui Li

at Shaanxi Univ of Technology

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Publications (2)

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Proceedings Article | 2 July 2021 Paper

Rotation correction method of thread image based on machine vision

Kui Li, Man Long Chen, Li Zhi Yan, Jie Wang

Proceedings Volume 11887, 1188713 (2021) https://doi.org/10.1117/12.2602890

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In order to obtain accurate diameter parameters when measuring cylindrical thread by machine vision, it is necessary to calibrate the measuring coordinate system of acquired thread image. Firstly, the principle, model of thread image rotation correction is established. Secondly, the relationship between the deflection Angle of the thread image and the measurement result of the middle diameter of the thread is obtained by theoretical pushover. An algorithm flow of image rotation correction is proposed. At last, the thread plug gauge is taken as the experimental object to carry out the comparative test. The experimental data show that the proposed algorithm can realize the correction of thread image, the measurement data fluctuated in a small range, and the measured diameter variance of thread is reduced by 77.1% compared with the traditional correction algorithm. It is shown that the proposed correction algorithm can accurately and efficiently measure the parameters of skew thread images.

Proceedings Article | 12 March 2021 Paper

Detection of surface defects and dimensions of graphite seal ring based on machine vision

Kui Li, Man-long Chen

Proceedings Volume 11763, 117631N (2021) https://doi.org/10.1117/12.2586290

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In order to solve the problems of low efficiency of surface defects and size detection of graphite seal ring, and reduce influence of human factors, a method of surface defects and size detection of graphite seal ring based on machine vision was proposed. On the one hand, image preprocessing and canny algorithm were used to extract the edge of the graphite seal ring, and then the least square circular fitting method was used to complete the edge fitting, so as to calculate the inner and outer diameters of the seal ring. On the other hand, the surface defect of seal ring was identified by template matching algorithm. The experimental results show that this method can detect the defects in the graphite seal ring, the defect recognition rate is 85.7%. The precision of dimension measurement can reach 0.06mm, which meets the requirement of measurement precision.

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