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Textile surface inspection by using translation invariant wavelet transform

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4 Author(s)
Fujiwara, H. ; Industrial Technol. Center of Okayama Prefecture, Japan ; Zhong Zhang ; Toda, H. ; Kawabata, H.

It is known that texture can be modeled better using both deterministic and random components. The wavelet transform, which can be computed efficiently, is a well-know multiresolution analysis method. However, when it is applied to texture analysis method. However, then it is applied to texture analysis, the wavelet transform has the problem that the transformed result of the deterministic component of the texture is no longer translation invariant. In this paper, we will constitute 2D RI-spline wavelets, which can be considered to be one variation of complex wavelets, we can obtain translation invariance. Then, we apply the translation invariant 2-D RI-spline wavelets to the automated inspection of textile surfaces. In our approach, first to remove textile textures from textile surfaces we use the 2-D RI-spline wavelets. Once the textural information is removed from textile surfaces, the remaining inspection process becomes a tractable problem, which we can handle using a standard statistical method. The experimental results show that our inspection method is effective for real textile surfaces.

Published in:

Computational Intelligence in Robotics and Automation, 2003. Proceedings. 2003 IEEE International Symposium on  (Volume:3 )

Date of Conference:

16-20 July 2003