Research and Achievement on Cigarette Label Printing Defect Detection Algorithm

Meng Xiao Li; Quan Xiang Liu; Cong You He

doi:10.4028/www.scientific.net/AMM.200.689

Paper Titles

Press Characterization Recalibration by Principal Component Analysis and DEBP Model
p.670

Influence of the Viscosity of Edible Ink to Piezoelectric Ink-Jet Printing Drop State
p.676

Effect of Viscosity Reducer and Varnish on Ink-Transferring Ratio
p.681

The Research on Ink Adhesion of Vacuum Aluminized Paper
p.685

Research and Achievement on Cigarette Label Printing Defect Detection Algorithm
p.689

Frequency Characteristics Analysis of Simulated Horizontal and Vertical Motion Blurred Image
p.694

The Study of the Affect Factors on the Soaping Fastness Resistance of Inkjet Ink
p.698

Printing Scheduling Using Peter Rof-Hamm Algorithm
p.702

Surface Modification of the Light-Storing Pigment by Titanate Coupling Agent and its Application on Print Ink
p.708

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 200Research and Achievement on Cigarette Label...

Research and Achievement on Cigarette Label Printing Defect Detection Algorithm

Abstract:

The cigarette label printing defect detection algorithm mainly includes image sensing and defect analysis. This paper carried out a deep research and analysis on the cigarette label printing defect detection algorithm by combing the domestic and foreign advanced machine vision-based printing defect detection technology, and improved the existing defect detection algorithm. Besides, it proposed to apply the minimum external rectangle in analyzing defect shape, realized the functions of detecting defect of printing images as well as analyzing and displaying the defect, and proved that the combination application of image difference and minimum external rectangle analytical method can bring better timeliness and higher detection accuracy.

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Periodical:

Applied Mechanics and Materials (Volume 200)

Pages:

689-693

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.200.689

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Online since:

October 2012

Authors:

Meng Xiao Li, Quan Xiang Liu, Cong You He

Keywords:

Cigarette Label Printing Defect, Defect Analysis, Defect Difference, Image Detection, Minimum External Rectangle

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