Abstract
In printing business, a lot of printing products have no apparent marks for registration, which cause the difficulty of printing image quality auto-detection. Aiming to this problem, a novel quality detection approach for non-mark printing image is proposed in this paper. The proposed approach mainly consists of the region feature based registration region selection and fast shape-based image matching method and an improved difference matching method to detect the printing defects. The proposed approach is realized by the well-known machine vision software HALCON. The experiment results show that the proposed approach can detect the printing defects efficiently with high accuracy, fast speed and strong robustness.
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Acknowledgment
This work is supported by the National Natural Science Foundation of China (No. 61302049), Science and Technology planning Project of Guangdong Province (No. 2015B020233018, No. cgzhzd1105, No. 2012B050300024), Science and Technology Planning Project of Shantou and Open Fund of Guangdong Provincial Key Laboratory of Digital Signal and Image Processing Techniques.
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Zhang, Q., Li, B., Shen, M., Shen, H. (2017). A Novel Quality Detection Approach for Non-mark Printing Image. In: Yuan, H., Geng, J., Bian, F. (eds) Geo-Spatial Knowledge and Intelligence. GRMSE 2016. Communications in Computer and Information Science, vol 699. Springer, Singapore. https://doi.org/10.1007/978-981-10-3969-0_20
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DOI: https://doi.org/10.1007/978-981-10-3969-0_20
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