Abstract:

In order to improve the accuracy of fabric printing patterns, the paper studies an effective method based on the multi-features for printed fabric image segmentation. In the process of segmentation, an automatic seeded region growing algorithm combined with the color features are used to segment the image firstly. Due to the influence of disturbances, some printed regions may be lost by over segmentation in the image. After the initial segmentation, in order to improve the accuracy of segmentation, wavelet-based texture features are employed to retrieve the lost regions. The experimental results show that the proposed algorithm has good effects on the segmentation of printed fabric image, especially for the printed image having more texture and can eliminate the segmentation distortion caused by only using color feature or texture feature. Therefore this algorithm has comparatively high practical value.

Key words: color feature, texture feature, rinted fabric, image segmentation