Application of wavelet transform in characterization of fabric texture

Chandra Shakher; S. M. Istiaque; Shashi Kumar Singh

doi:10.1117/12.483207

16 September 2002 Application of wavelet transform in characterization of fabric texture

Chandra Shakher, S. M. Istiaque, Shashi Kumar Singh

Proceedings Volume 4929, Optical Information Processing Technology; (2002) https://doi.org/10.1117/12.483207
Event: Photonics Asia, 2002, Shanghai, China

Abstract

In this paper we present an opto-vision system for image processing of fabric texture using symlet wavelet transform to locate different types of defects in fabric and find the repeat texture of fabric without any priori information. The system is also capable of characterizing the texture of fabric not having obvious repeat pattern. The proposed methodology is able to measure the warp, weft diameter and spacing per unit length per yarn and percentage of their coefficient of variation (C.V%). The two dimensional wavelet transform of the image can distinguish texture feature along with yarn spacing in the weave. The information obtained from the image processing is considered to be significant for purposes of textile design to obtain a basic knowledge as to the visual information contained therein.

Citation Download Citation

Chandra Shakher, S. M. Istiaque, and Shashi Kumar Singh "Application of wavelet transform in characterization of fabric texture", Proc. SPIE 4929, Optical Information Processing Technology, (16 September 2002); https://doi.org/10.1117/12.483207

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available