基于改进图像阈值分割算法的纱线疵点检测

Aiming at the problems of poor reliability, low sensitivity and low speed of yarn defect detection in the textile industry, a new yarn defect detection method based on digital image processing was proposed. A yarn image acquisition system is built to obtain yarn image. In view of the difficulty of yarn edge information processing and the poor effect of traditional bilateral filtering on pepper-and-salt noise processing, the bilateral filtering was worked on for improvement, and the improved bilateral filtering was shown to be effective for preserving the yarn edge data. Furthermore, aiming at the problem of large amount of calculation and difficulty in finding the optimal threshold, the optimal threshold calculation method of traditional threshold segmentation algorithm is improved. The improved threshold segmentation algorithm not only ensures the processing effect, but also improves the processing speed of the whole algorithm. Sub-pixel is used to calculate the yarn edge and improve the accuracy of yarn defect detection. The experimental results verified the effectiveness and reliability of the algorithm, and increased the detection speed by more than 20% while improving the accuracy, which is of great significance for improving the accuracy of yarn quality detection.