Application of Object-Based Image Processing Technique in Printing Defect Online Detection

Abstract:

In this paper ,a color printing defect automatic online detection method based on digital image processing technique is proposed. The main idea of this method is comparison of defect product and template and it makes up of following key models. Firstly, multi-scale segmentation is applied to composed image which is overlaid by detecting product and template image. Secondly, an automatic region similarity analysis calculation is taken to segmentation obtained in multi-scale segmentation. The color difference between detecting product and template can be calculated accurately. Thirdly, defect detection results can be obtained according to threshold segmentation. Finally, the characteristics and advantages are approved by experimental analysis and discussion. Algorithm parameters are adjusted and modified to improve the stability and effectiveness. Experimental results approve that color printing defect automatic detection method in this paper has the characteristics of effectiveness and applicability. And experimental results indicate that this method has the advantage of judging the defect types automatically.

• Periodical: Applied Mechanics and Materials (Volume 731)
• Pages: 210-213
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.731.210
• Online since: January 2015
• Authors: Shu Feng Liu*, Shao Hong Shen
• Keywords: Difference Analysis, Object-Based Image Processing, Online Automatic Detection, Printing Defect

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