针对印花织物颜色丰富、花纹多变、错花缺陷检测困难等问题,提出了一种基于黄金图像减法(GIS)与傅里叶变换位移定理(FTDT)曲线匹配算法相结合的方法,实现了印花织物错花缺陷的检测。对印花织物图像进行高斯滤波,以消除噪声对缺陷检测结果的影响;利用GIS实现对待检测图像的匹配,并分割出缺陷区域;针对错花类型的疵点,运用基于FTDT的曲线匹配算法计算出错花的相对偏移量。实验结果表明,该算法不仅能准确分割出缺陷区域,对疵点细节信息保留得较好,而且能精确得到错花的相对偏移量,对工业生产具有一定的指导意义。

A new method based on gold image subtraction (GIS) combined with the Fourier transform displacement theorem (FTDT) curve matching algorithm was proposed to detect the defects of printed fabrics caused by color and pattern diversity. First, a Gaussian filter was applied to printed fabrics to eliminate the influence of noise on the defect detection results. Then, GIS was employed for image matching and defect segmentation. Finally, a curve matching algorithm based on FTDT was adapted to calculate the relative offset of the cross-printing defects. Experiment results indicate that the algorithm can accurately segment the defect and provide detailed information about the defect. The algorithm can also accurately obtain the relative offset of cross-printing defects, which has a certain guiding significance for industrial production.