In this research paper, the method of printed complex image quality checking for fabric cloth has been proposed for the development of an automated, printed image, quality checking system. As described in this paper, this quality checking system was implemented using graph matching and the pixel calculation algorithms, and the reliability was analyzed using HALCON software. The analysis of image and defect detection of image was performed by partitioning the images. First, the image registration area was automatically selected according to the regional characteristics of the image pattern; subsequently, the system performed fast image registration, based on the shape discovered through a graph matching method. Finally, the pixel calculation method was used in the specific image registration area to detect defects of the printed image in order to identify and ensure quality of the subsequently printed complex pattern on the fabric cloth. In this research, the proposed method was carried out on the image pattern of a selected registration area. The image registration for defective detection quickly, effectively, and efficiently detected the faults. The minimum and maximum errors were found as 0.16% and 8.4%, respectively, occurring within a 10% control. Whenever the error exceeded 10%, it was regarded as a quality defect of printed fabric cloth product; conversely, when the error fell below 10%, the product was deemed a qualified product. The higher measurement accuracy by the proposed method meets the needs of actual production by providing a new method of printing defect detection for the textile and garment industry printing sectors.

中文翻译：

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一种织物布料印刷复杂图像质量检测方法分析，用于开发自动化质量检测系统

在这篇研究论文中，提出了织物布料印刷复杂图像质量检查的方法，以开发自动化的印刷图像质量检查系统。如本文所述，该质量检查系统使用图形匹配和像素计算算法实现，并使用 HALCON 软件分析可靠性。通过对图像进行分区来进行图像分析和图像缺陷检测。首先，根据图像图案的区域特征自动选择图像配准区域；随后，系统根据通过图形匹配方法发现的形状执行快速图像配准。最后，在特定的图像配准区域采用像素计算的方法来检测印刷图像的缺陷，以识别并保证随后在织物上印刷的复杂图案的质量。在这项研究中，所提出的方法是在选定的配准区域的图像模式上进行的。用于缺陷检测的图像配准快速、有效、高效地检测到故障。发现最小和最大误差分别为 0.16% 和 8.4%，发生在 10% 的控制范围内。当误差超过10%时，视为印花布产品质量缺陷；反之，当误差低于10%时，则认为该产品为合格产品。