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.
张志龙; 沈振康; 李吉成. 一组基于广义局部沃尔什变换的纹理特征[J]. 电子与信息学报, 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. , 2006, 28(6): 1031-1035 .
2006, Vol. 28 
