Abstract
A novel approach is proposed for measuring fabric texture orientations and recognizing weave patterns in this paper. Wavelet transform is suited for fabric image decomposition and Radon Transform is fit for line detection in fabric texture. Their excellent performances are put together to detect texture orientations in this study. Since different weave patterns have their own regular orientations in original image and sub-band images decomposed by Wavelet transform, these orientations features are extracted and used as LVQ inputs to achieve automatic recognition of fabric weave. The contribution of this algorithm is that it not only can identify fundamental fabric weaves but also can classify double layer and some derivative twill weaves such as angular twill and pointed twill. The experimental results show that the proposed method feasible and effective.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Huang, C., Liu, S., Yu, W.: Woven Fabric Analysis by Image Processing, Part I: Identification of Weave Patterns. Textile Res. J. 70(6), 481–485 (2000)
Kang, T.J., Kim, C.H., Oh, K.W.: Automatic Recognition of Fabric Weave Patterns by Digital Image Analysis. Textile Res. J. 69(2), 77–83 (1999)
Xu, B.: Identifying Fabric Structures with Fast Fourier Transform Techniques. Textile Res. J. 66(8), 496–506 (1996)
Kang, T.J.: Automatic Recognition of Fabric Weave Patterns by Digital Image Analysis. Textile-Res. J. 69(2), 77–83 (1999)
Kang, T.J.: Automatic Recognition of Fabric Weave Patterns by Digital Image Analysis. Textile-Res. J. 71(3), 261–270 (2001)
Hubbard, B.B.: The World According to Wavelets. A.K. Peters, Ltd., Wellesley (1996)
Fan, K., Wang, T., Chang, T., Jou, C., Kao, T.: Fabric Classification Based on Recognition Using a Neural Network and Dimensionality Reduction. Textile Res. J. 68(3), 179–185 (1998)
Ben Salem, Y., Nasri, S., Tourki, R.: Classification of tissues by neural network. In: 12th IEEE International Conference Electronics Circuits and Systems, Proceedings of ICECS 2005, Gammarth, Tunisia (2005)
Salem, Y.B., Nasri, S.: Automatic recognition of woven fabrics based on texture. Springer-Verlag London Limited (2009)
Chung-Feng, J.K., Cheng-chih, T.: Automatic recognition of fabric nature by using the approach of texture analysis. Textile Res. J. 76(5), 375–382 (2006)
Percival, D.B., Walden, A.T.: Wavelet Methods for Time Series Analysis. Cambridge University Press, Cambridge (2000)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Shen, J., Zou, X., Xu, F., Xian, Z. (2010). Intelligent Recognition of Fabric Weave Patterns Using Texture Orientation Features. In: Zhu, R., Zhang, Y., Liu, B., Liu, C. (eds) Information Computing and Applications. ICICA 2010. Communications in Computer and Information Science, vol 106. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16339-5_2
Download citation
DOI: https://doi.org/10.1007/978-3-642-16339-5_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16338-8
Online ISBN: 978-3-642-16339-5
eBook Packages: Computer ScienceComputer Science (R0)