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

Volume

1

fYear

2011

fDate

15-17 Oct. 2011

Firstpage

38

Lastpage

41

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Signal Processing (CISP), 2011 4th International Congress on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-9304-3

Type

conf

DOI

10.1109/CISP.2011.6099980

Filename

6099980