Research on Image Detection Technology of Printing Based on Dynamic Partitioning Method

Abstract:

Nowadays, many domestic printing enterprises still rely on artificial visual means to weed out waste, labor-intensive, time-consuming, subjective factors serious influence, the test results not being uniform, especially with the improvement of printing speed, gradually unable to meet the needs of the production. In order to solve the problems in the conventional assay and promote the development of China's printing industry productivity, there is an urgent need to develop the quality of printing online full screen detection system, with the rapid development of modern printing technology, the objective is to test and evaluate. In this paper, machine vision inspection technology, digital image processing technology is used in order to achieve the online testing and feedback of print quality. Dynamic partitioning method is based on standard proofs and proofs of defective segmentation and matching. According to the type of image resolution and the desired accuracy of detecting the type of design image segmentation method, thereby performing the detection and analysis of the color information. Secondary identification defect classification technology is used to change the defect classification, and then display the corresponding defect types. Compared with the traditional printing quality, the high detection print quality inspection speed and precision requirements have been reached, thereby the overall quality of the printed product is improved.

• Periodical: Applied Mechanics and Materials (Volume 469)
• Pages: 377-382
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.469.377
• Online since: November 2013
• Authors: Li Chen, Wan You Tang*
• Keywords: Defect Type, Dynamic Partitioning, Online Testing, Printing Defect

References

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