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| A Group of Texture Features Based on Generalized Local Walsh Transform |
| Zhang Zhi-long; Shen Zhen-kang; Li Ji-cheng |
| ATR National Laboratory, National University of Defence Technology, Changsha 410073, China |
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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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Received: 21 October 2004
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2006, Vol. 28 
