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阐述了印刷品缺陷检测在印刷成品的质量控制和印刷工艺管理中的重要地位和作用;提出了一种新的缺陷检测算法,并给出了系统的设计和缺陷检测流程;研究了一种基于小波变换的图像边缘检测方法,通过与传统缺陷检测算法进行对比,表明基于小波变换的图像边缘检测方法不仅能有效地滤除噪声、检测弱小目标在内的图像的边缘,而且还具有较强的抗噪性能,能检测出印刷品上的微小印刷缺陷;最后通过实验验证了该算法的可行性、可靠性和有效性。
Expounds the important position and function of the printing defect detection in the quality control and printing process management of the printed finished product; proposes a new defect detection algorithm, and gives the system design and defect detection process; Compared with the traditional defect detection algorithm, the method of image edge detection based on transform is shown to show that the image edge detection method based on wavelet transform not only can effectively filter out noise, detect the edge of the image, such as small and small targets, but also has strong resistance Noise performance, can detect small print defects on the print; Finally, experiments verify the feasibility of the algorithm, reliability and effectiveness.