Abstract:

In order to improve the correct rate of detection of fabric defect, Gabor filters and Isomap were used to detect the fabric defect. Firstly, the images of fabric defect were filtered by 15 Gabor filters with 3 orientations and 5 scales, which contribute to overcome the effect of uneven illumination and low contrast. Then, the filtered images are divided into a non-overlapping rectangular patches and high-dimensional features were extracted. Simultaneously, Isomap algorithm is applied to reduce the dimensionality of feature and eliminate the redundant information. Besides, a mapping model of new samples was proposed to detect the low dimensional embedding results. Finally, the performance of proposed algorithm was estimated off-line by two sets of fabric defect images. The theoretical argument is supported by experimental results.

Key words: fabric defect detection, Gabor filter, Isomap, image processing