Chung-Feng Jeffrey Kuo Chung-Yang Shih
Jiunn-Yih Lee
Intelligence Control and Simulation Laboratory, Department of Polymer Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan, Republic of China; jeff@tx.ntust.edu.tw<script type="text/javascript"><!-- var u = "jeff", d = "tx.ntust.edu.tw"; document.getElementById("em0").innerHTML = '<a href="mailto:' + u + '@' + d + '">' + u + '@' + d + '<\/a>'//--></script>
A novel approach of repeat pattern segmentation is proposed for printed fabrics. Printed fabrics are captured by a color scanner and converted into full color digital files. To classify the color segmentation and pattern elements a fuzzy C-means (FCM) clustering algorithm and a specific cluster-validity criterion are used to obtain the pattern image of printed fabric. Then, the repeat pattern segmentation of the pattern image is established by Hough transform. The experimental results have shown that this systematic method is very suitable for the analysis of the repeat pattern of printed fabrics.
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