Abstract: Focus on the key problem of textile printing precision measurement, the paper is devoted to studying an effective method for image segmentation of textile printing pattern. To improve the anti－noise robustness for FCM method, this paper proposes a method to change the distance metric and modify the membership function in the objective function. In order to ensure the effectiveness and accuracy of FCM algorithm, the parameter selection and algorithm structure are deeply researched. The self-adaptive parameters initialization method and FCM algorithm correction method are investigated by experiments. Finally, the results of image segmentation of textile printing pattern by using this algorithm are demonstrated. The experimental results show that the algorithm has good effect on image segmentation of textile printing pattern, and the interference caused by light and fabric texture has certain inhibition.

Key words: textile print pattern image , image segmentation , FCM , Self-adaptive parameter