A Group of Texture Features Based on Generalized Local Walsh Transform

Zhang Zhi-long; Shen Zhen-kang; Li Ji-cheng

Volume 28 Issue 6

Jun. 2006

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Article Navigation > Journal of Electronics & Information Technology > 2006 > 28(6): 1031-1035

Zhang Zhi-long, Shen Zhen-kang, Li Ji-cheng. A Group of Texture Features Based on Generalized Local Walsh Transform[J]. Journal of Electronics & Information Technology, 2006, 28(6): 1031-1035.

Citation:

Zhang Zhi-long, Shen Zhen-kang, Li Ji-cheng. A Group of Texture Features Based on Generalized Local Walsh Transform[J]. Journal of Electronics & Information Technology, 2006, 28(6): 1031-1035.

Zhang Zhi-long, Shen Zhen-kang, Li Ji-cheng. A Group of Texture Features Based on Generalized Local Walsh Transform[J]. Journal of Electronics & Information Technology, 2006, 28(6): 1031-1035.

Citation:

Zhang Zhi-long, Shen Zhen-kang, Li Ji-cheng. A Group of Texture Features Based on Generalized Local Walsh Transform[J]. Journal of Electronics & Information Technology, 2006, 28(6): 1031-1035.

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A Group of Texture Features Based on Generalized Local Walsh Transform

Received Date: 2004-10-21
Rev Recd Date: 2005-03-18
Publish Date: 2006-06-19

Abstract

Abstract

A new group of texture features based on Generalized Local Walsh Transform (GLWT) are presented in this paper. Firstly, Local Walsh Transform (LWT) is defined and generalized in spatial domain to extract local texture information. Then, the twelve 2nd order moments of GLWT coefficients are estimated in a macro-window and selected as texture features. The performance of these features in discriminating textures has been evaluated. The textural features from Haralick(1973), Wang Li(1990), Yu Hui has been used for comparison. The experimental results reveal that the texture features presented have the best discriminating performance.

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References(1)

References

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