Fabric Defect Detection Algorithm for Dense Road and Sparse Road

In order to improve the results of fabric defect detection with less obvious features such as dense road and sparse road, a Gaussian hybrid clustering algorithm is proposed. Firstly, the image is preprocessed by means of mean filter, and then a Gabor filter and Gaussian mixture clustering algorithm are used to identify the defects of the image to be detected. The experimental results show that compared with other defect detection methods, the method is effective in detecting the defects of fabrics such as dense road and sparse fabric, and has some practical value in defect detection.