基于小波变换和阈值分割的织物疵点边缘检测

The edge detection of fabric defects is the base of geometrical features extraction and the essential process of the fabric defects identification, This paper proposed a method for fabric defects edge detection based on discrete stationary wavelet transform （DSWT） and optimal threshold segmentation algorithm （OTSA）. Firstly, the background of fabric defects picture was removed, then it was executed through DSWT and enhanced by the Laplacian operator. Finally, the edge detection was carded out with both OTSA and morphological operation. By contrast, this method is better than the classic ones, and is effective to fabric defect edge detection.

Edge Detection of Fabric Defects Based on Wavelet Transform and Threshold Segmentation Algorithm

The edge detection of fabric defects is the base of geometrical features extraction and the essential process of the fabric defects identification. This paper proposed a method for fabric defects edge detection based on discrete stationary wavelet transform (DSWT) and optimal threshold segmentation algorithm (OTSA). Firstly, the background of fabric defects picture was removed, then it was executed through DSWT and enhanced by the Laplacian operator. Finally, the edge detection was carried out with both OTSA and morphological operation. By contrast, this method is better than the classic ones, and is effective to fabric defect edge detection.