Paper
28 April 2023 Research on adaptive canny-based detection method for print overprint deviation
Mengtao Huang, Guanghui Shang
Author Affiliations +
Proceedings Volume 12610, Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022); 126100Z (2023) https://doi.org/10.1117/12.2671080
Event: Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022), 2022, Wuhan, China
Abstract
In order to improve the detection accuracy and efficiency of overprinting, an overprint deviation detection method is proposed for the characteristics of "concentric circles" overprint logo logos with fixed radius and line width. Firstly, the edges are divided into foreground and background by edge enhancement and center-of-mass comparison to select the appropriate high and low thresholds; the image edge information is extracted by Canny operator and the outline is filtered according to the radius of the circle in the logo logos; finally, the circle center is confirmed by the least squares method, and the distance between the two circle centers is the overprint deviation. deviation, and the pixel deviation is converted to physical deviation by the size of the camera calibration. Comparing the data obtained by this method with the known values, the average error of measurement is all less than 0.01mm, which meets the national regulations for overprint accuracy in the printing industry, and the detection time and detection efficiency can meet the real-time requirements.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mengtao Huang and Guanghui Shang "Research on adaptive canny-based detection method for print overprint deviation", Proc. SPIE 12610, Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022), 126100Z (28 April 2023); https://doi.org/10.1117/12.2671080
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KEYWORDS
Printing

Image filtering

Tunable filters

Image enhancement

Detection and tracking algorithms

Edge detection

Digital filtering

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