A new texture feature extraction method using Local Walsh Transform (LWT) is presented. The definition of LWT is given. The statistical properties of LWT coefficients are analyzed.
介绍了一种利用局部沃尔什变换(LWT)提取图像纹理特征的新方法，给出lwt的定义，并分析了LWT系数的统计特性及其各阶矩的纹理鉴别性能。
Based upon texture feature and whole interrelation of, pixels in local region, an iterative algorithms of approximation to known pixels was performed to restore the damaged data.
基于局部域上象元的整体相关性和基图象纹理连续性，对已知象元进行迭代拟合，同时修复多点缺损数据。
Based upon texture feature and whole interrelation of, pixels in local region, an iterative algorithms of approximation to known pixels was performed to restore the damaged data.
基于局部域上象元的整体相关性和基图象纹理连续性，对已知象元进行迭代拟合，同时修复多点缺损数据。
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