Defect detection in textile fabric images using wavelet transforms and independent component analysis

被引：38

作者：

Serdaroglu A. ^{[1
]}

Ertuzun A. ^{[1
]}

Ercil A. ^{[2
]}

机构：

[1] Bogazici University,

[2] Sabanci University,undefined

来源：

Pattern Recognition and Image Analysis | 2006年 / 16卷 / 1期

关键词：

Defect Detection; Independent Component Analysis; Wavelet Packet; Geometrical Defect; Receiver Operating Curf;

D O I：

10.1134/S1054661806010196

中图分类号：

学科分类号：

摘要：

In this paper, a new method based on the use of wavelet transformation prior to independent component analysis for solving the problem of defect detection in textile fabric images is presented. Different subbands of the wavelet packet tree scheme of the defect-free subwindows are obtained and independent components of these subbands are calculated as basis vectors. The true feature vectors corresponding to these basis vectors are computed. The test subwindow is labeled as defective, or not according to the Euclidean distance between the true feature vector representing the non-defective regions and the feature vector of the subwindow under test. The advantage of adding wavelet analysis prior to the independent component analysis is presented. © Pleiades Publishing, Inc., 2006.

引用

页码：61 / 64

页数：3

共 9 条

[1]

Atalay A., Automated Defect Inspection of Textile Fabrics Using Machine Vision Techniques, (1995)

[2]

Meylani R., Oden C., Ertuzun A., Ercil A., 2-D iteratively reweighted algorithm for adaptive detection of defects in textured images, IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences, (2006)

[3]

Texture Analysis Using Adaptive Two-dimensional Lattice Filters, (1997)

[4]

Amet A.L., Ertuzun A., Ercil A., An efficient method for texture defect detection: Subband domain co-occurrence matrices, Image Vis. Comput., 6, pp. 543-553, (2000)

[5]

Sezer O.G., Ertuzun A., Ercil A., Independent component analysis for texture defect detection, Pattern Recognition and Image Analysis, 14, 2, pp. 303-307, (2004)

[6]

Hyvarinen A., Oja E., Independent component analysis: Algorithms and applications, Neural Networks, pp. 411-430, (2000)

[7]

Hyvarinen A., Survey on independent component analysis, Neural Computing Surveys, pp. 94-128, (1999)

[8]

Hurri J., Hyvarinen A., Karhunen J., Oja E., Image Feature Extraction Using Independent Component Analysis

[9]

Chang T., Kuo J., Texture analysis and classification with tree-structured wavelet transform, IEEE Trans. Image Process., 2, 4, pp. 429-441, (1993)

← 1 →