Title :
A novel method of intelligent analysis of weave pattern based on image processing technology
Author :
Tu, Xinxing ; Xin, Binjie ; Zhong, Ping ; Wang, Shile
Author_Institution :
Coll. of Mater. Sci. & Eng., Donghua Univ., Shanghai, China
Abstract :
This paper proposed a new method based on image processing and pattern recognition technology to recognize the pattern of woven fabric. The method disposed the information of both the top and bottom fabric images. The result of analyzing the regularity of the intensity variation of the horizontal and vertical direction of image can be used to determine the interlacing position of yarn sections. According to encoding the color information of fabric, the types of cross points can be obtained. After getting the color information of fabric on the warp and weft directions, the color pattern could be determined, and it can be used to correct the errors of classification of cross-point classification. Finally a fabric model can be built which contains types of interlacing points and color pattern.
Keywords :
fabrics; image classification; image colour analysis; weaving; yarn; color pattern; cross-point classification; fabric color information; fabric model; image processing technology; intelligent analysis; intensity variation; interlacing points; interlacing position; pattern recognition technology; weave pattern; weft direction; woven fabric pattern; yarn section; Educational institutions; Encoding; Fabrics; Feature extraction; Image color analysis; Weaving; Yarn; color pattern; dual-side Scanning; image processing; weave pattern;
Conference_Titel :
Image and Signal Processing (CISP), 2011 4th International Congress on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-9304-3
DOI :
10.1109/CISP.2011.6099980
