Printing Defects Detection Based on Two-Times Difference Image Method

Abstract:

With an aim at printing quality on-line detection, a method based on two-times difference image algorithm was proposed. Firstly, a standard template image and a gray threshold value image were calculated by using statistical methods. Secondly, an abnormal spots image was obtained through two-times difference image of the detection image, the standard template image and gray threshold value image. Lastly, the defects can be detected by analysis of connected region of the abnormal spots image. The results demonstrated that the problems of false detection and omission detection due to edge of image can be solved effectively, and the detection accuracy can be improved through this method.

• Periodical: Applied Mechanics and Materials (Volume 340)
• Pages: 512-516
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.340.512
• Online since: July 2013
• Authors: Yan Yan Guan, Yi Cheng Ye
• Keywords: Difference Image Method, Gray Threshold Value, Printing Defects Detection, Statistical Process Control

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