A Fast Detection Scheme for Original Fabric Based on Blob, Canny and Rotating Integral Algorithm

Fabric inspection is an important part of testing the quality of textiles. Influenced by labor and cloth inspection machines, traditional fabric inspection results in low detection efficiency and high error inspection. In this paper, we propose a fast and efficient defect detection scheme by installing a camera to grab a cloth image in a weaving circle machine. In the progress of fabric weaving, there are three types of flaws: spots, holes and lines on the fabric. In our scheme, The Blob feature point detection algorithm is used to detect the spots, the Canny operator contour detection method is used to detect the holes, and the proposed rotation screenshot gray integral projection method is used to detect the lines. The experiment results show that our fabric inspection scheme presents higher detection efficiency than existing ones.