Title :
Unsupervised Color Classification for Yarn-dyed Fabric Based on FCM Algorithm
Author :
Ronghua, Zhang ; Hongwu, Chen ; Xiaoting, Zhang ; Ruru, Pan ; Jihong, Liu
Author_Institution :
Yancheng Coll. of Textile Technol., Yancheng, China
Abstract :
A novel method for realizing the color classifying in yarn-dyed fabric is proposed in this paper. The color image of yarn-dyed fabric was obtained by a flat scanner, and then it is converted from RGB color space to Lab color space. By analyzing the difference among RGB, HSL and Lab color space, the advantages of Lab color are concluded. FCM was selected as the Color Cluster method. A better color classification quality in Lab color space is shown in the experiment. The color yarn number is detected based on the validity for FCM clusters. Experimental comparisons on RGB, HSL, and Lab color spaces show that the approach proposed in this article is more effective for color extracting and classifying in yarn-dyed fabric.
Keywords :
fabrics; image classification; image colour analysis; pattern clustering; production engineering computing; yarn; FCM algorithm; Lab color space; RGB color space; color cluster method; color yarn number; flat scanner; unsupervised color classification; yarn-dyed fabric; Classification algorithms; Clustering algorithms; Clustering methods; Computational modeling; Fabrics; Image color analysis; Image segmentation; FCM; Lab color space; cluster validity; image analysis; yarn-dyed fabric;
Conference_Titel :
Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-8432-4
DOI :
10.1109/AICI.2010.110
