Fabric defect detection and classification (FDDC) plays an important role in the automated inspection of fabric products. In this paper

a novel defect detection method based on texture watershed is proposed. The properties of texture defects are characterized using the wavelet method. Texture gradient can be acquired by calculating the sub-band wavelet. Texture gradient contains many texture features and the boundary of texture regions in fabric images can be enhanced. Combined with the watershed transform

the defective regions in fabric images can be detected accurately. The proposed method achieves efficient and accurate performance on the detection of 6 fabric images containing fabric defects.