基于 DP 方法的印刷品图像检测技术研究

目的研究印刷品图像质量在线检测及反馈。方法利用机器视觉检测技术、数字图像处理技术,并基于DP方法对标准样张和有缺陷样张进行分割和匹配,根据图像不同的分辨率和所需检测精度来设计图像不同的分割方式,从而进行颜色信息的检测和分析,利用二级识别缺陷分类技术将缺陷进行分类,显示相应的缺陷类型,从而提高印品总体质量。结果与传统的印品质量检测相比,实现了对印刷质量检测的高速度和高精度的要求。结论基于DP方法结合缺陷特征,能够快速、准确地检测出印刷品缺陷。

Image Detection Technology of Printing Based on the DP Method

Objective To study the online testing and feedback of print image quality. Methods Machine vision inspection technology, digital image processing technology and DP method were used to segment and match standard proofs and defective proofs. According to the type of image resolution and the desired detection accuracy, the type of image segmentation method was designed, thereby the detection and analysis of the color information was performed. Secondary identification defect classification technology was used to classify the defects and display the corresponding defect types, thereby the overall quality of the printed product was improved. Results Compared with the traditional printing quality testing, higher inspection speed and precision were achieved. Conclusion Combined with defect characteristics based on the DP method, print defects can be detected quickly and accurately.