Texture Segmentation of Jacquard Fabric Using Wavelet-Domain Markov Model

Yang Zhang; You Cheng Tong; Jun Zhou Yao

doi:10.4028/www.scientific.net/AMR.468-471.2720

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 468-471Texture Segmentation of Jacquard Fabric Using...

Texture Segmentation of Jacquard Fabric Using Wavelet-Domain Markov Model

Abstract:

To improve the accuracy and efficiency of fabric design CAD, a wavelet-domain Markov model to image texture segmentation from a natural framework for intergrating both local and global information of jacquard fabric image behavior, together with contextual information.Firstly the Daubechies wavelet and tree-structure is selected, then the approach decomposes the low frequency part of the jacquard fabric image. Secondly within the theoretical framework of Markov random field, we construct the grey field distribution model and label field prior model with finite Gaussian mixture algorithm and multi-level logistic algorithm respectively. The experiments for almost 30 warp knitting jacquard fabric images show that this approach is a feasible way for jacquard fabric, and it supplies a theoretical platform for subsequent research.

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Periodical:

Advanced Materials Research (Volumes 468-471)

Pages:

2720-2723

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.468-471.2720

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Online since:

February 2012

Authors:

Yang Zhang, You Cheng Tong, Jun Zhou Yao

Keywords:

Hidden Markov, Jacquard Fabric Image, Texture Segmentation, Wavelet Transform (WT)

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References

[1] Wang Leiguang, Liu Guoying, Mei Tiancan, etal. A segmentation algorithm for high-Resolution remote sensing texture based on spectral and texture iInformation weighting[J]. Acta Optica Sinica, 2009(11): 3011- 3016.

DOI: 10.3788/aos20092911.3010

Google Scholar

[2] Cehux G,Forbes F,Peyrard N.EM procedures Using mean field-like approximations for Markov model-based image segmentation[J].Pattern Recognition，2003(36): 131- 144.

DOI: 10.1016/s0031-3203(02)00027-4

Google Scholar

[3] WU Gaohong, ZHANG Yujin, LIN Xinggang. Texture Segmentation with Wavelet Transform and Feature Weighting [J]. Journal of Image and Graphics,2001(4)：333-337.

DOI: 10.1109/icip.1999.819630

Google Scholar

[4] HUANG Yu, FU Kun, WU Yirong. Image segmentation method using K-Means based on markov random field[J]. Acta Electronica Sinica，2009（12）：68-70.

Google Scholar

[5] BAO Xiaomin, PENG Xiao, WANG Yaming, et al. Textile image segmentation based on semi-supervised clustering and Bayes decision[J]. Journal of Textile Research, 2010(5):137-140.

DOI: 10.1109/aici.2009.174

Google Scholar