Automatic classication of woven fabric structure based on computer vision techniques

被引：0

作者：

Kang, Xuejuan ^{[1
]}

Xu, Mengmeng ^{[2
]}

Jing, Junfeng ^{[2
]}

机构：

[1] Electrical Engineering Department, Xi'an Aeronautical University, Xi'an

[2] School of Electronics and Information, Xi'an Polytechnic University, Xi'an

来源：

Journal of Fiber Bioengineering and Informatics | 2015年 / 8卷 / 01期

关键词：

2-D wavelet transform; Automatic classification; Gabor wavelet; GLCM; PNN; Woven fabric structure;

D O I：

10.3993/jfbi03201507

中图分类号：

学科分类号：

摘要：

Traditionally woven fabric structure classification is based on manual work in textile industry. This paper proposes an automatic approach to classify the three woven fabrics: plain, twill and satin weave. Firstly 2-D wavelet transform is used to obtain low frequency sub-image in order to reduce the analysis of fabric images. Then graylevel co-occurrence matrix (GLCM) and Gabor wavelet are adopted to extract the texture features of pre-processing fabric images. Finally Probabilistic Neural Network (PNN) is applied to classify the three basic woven fabrics. The experimental results demonstrate that the proposed method can automatically, efficiently classify woven fabrics and obtain accurate classification results (93.33%). © 2015 Binary Information Press & Textile Bioengineering and Informatics Society.

引用

页码：69 / 79

页数：10

共 14 条

[1]

Baykasoglu A., Ozbakir S., Kulluk S., Classifying defect factors in fabric production via DIFACONN-miner: A case study, Expert Systems with Applications, 38, 9, pp. 11321-11328, (2011)

[2]

Kang T.J., Kim C.H., Oh K.W., Automatic recognition of fabric weave patterns by digital image analysis, Textile Research Journal, 69, 2, pp. 77-83, (1999)

[3]

Haralick R.M., Shanmugam K., Dinstein I.H., Textural features for image classification, IEEE Transactions Systems, Man and Cybernetics, 3, 6, pp. 610-621, (1973)

[4]

Melendez J., Garcia M.A., Puig D., Efficient distance-based per-pixel texture classification with Gabor wavelet filters, Pattern Analysis and Application, 11, 3-4, pp. 365-372, (2008)

[5]

Hu J.L., Textile classification based on Bayesian approach, Journal of Textile Research, 25, 1, pp. 48-49, (2004)

[6]

Shih C.Y., Lee J.Y., Automatic recognition of fabric weave patterns by a fuzzy C-means clustering method, Textile Research Journal, 74, 2, pp. 107-111, (2004)

[7]

Salem Y.B., Nasri S., Automatic recognition of woven fabrics based on texture and using SVM, Signal, Image and Video Processing, 4, 4, pp. 429-434, (2010)

[8]

Wang X., Georganas N.D., Petriu E.M., Fabric texture analysis using computer vision techniques, IEEE Transactions on Instrumentation and Measurement, 60, 1, pp. 44-56, (2011)

[9]

Pan R., Gao W., Liu J., Wang H., Automatic recognition of woven fabric pattern based on image processing and BP neutral network, Journal of the Textile Institute, 102, 1, pp. 19-30, (2011)

[10]

Liu J.L., Zuo B.Q., Application of wavelet coefficients on similarity description of fabric structural texture, Computer Engineering and Applications, 45, pp. 224-227, (2009)

← 1 2 →