一种改进的印刷丝网布疵点快速检测算法

为提高印刷丝网布疵点检测的速度和准确性，提出了一种基于傅里叶变换和改进阈值分割的印刷丝网布疵点的检测算法。以无图案的印刷丝网布为研究对象，首先对采集到的印刷丝网布图像进行傅里叶变换，得到印刷丝网布图像的频谱图；然后利用Butterworth低通滤波器对频谱图像进行滤波，滤除傅里叶空间的高频分量；最后对逆变换得到的滤波图像进行改进的迭代法阈值分割，从而实现印刷丝网布的疵点检测。实验结果表明，该算法能够实现脏污、划痕、飞丝、破洞等常见疵点的快速准确检测。

Improved fast printing mesh fabric defect detection method

In order to improve the speed and accuracy of printing mesh fabric defect detection, a method based on Fourier transform and improved threshold segmentation is proposed. Taking the unpatterned printing mesh fabric as the research object, the Fourier transform is used for the collected printing mesh fabric images to acquire the spectral image of the printing mesh fabric images. Then the Butterworth low pass filter is used to the spectral image, and the high frequency component of the Fourier space is filtered. Finally, the improved iterative threshold segmentation is used to the filtered images which are obtained by the inverse transform, so as to realize the detection of printing mesh fabric defect. The experimental results show that the algorithm can achieve the detection of dirt, scratches, fly wire, holes and other common defects quickly and accurately.