Local Fourier transform (LFT) is an important texture feature extracting method.
局部傅里叶变换(LFT)是一种重要的纹理特征提取方法。
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。
The texture feature was obtained by statistically projecting the local centroid which was referred from the structural texture analysis methods based on the wavelet package transform.
该算法以具有多分辨率特性的小波包为基础，结合结构法的纹理元分析方式，采用区域质心完成局部特征提取，最后使用投影法进行整体的特征提取。
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。
Finally, the similarity between color images is computed by using a combined feature index based on the color histogram and texture histogram for local grids.
最后综合利用上述网格区域的颜色直方图和纹理直方图来计算图像间内容的相似度，用于进行彩色图像检索。
Finally, the similarity between color images is computed by using a combined feature index based on the color histogram and texture histogram for local grids.
最后综合利用上述网格区域的颜色直方图和纹理直方图来计算图像间内容的相似度，用于进行彩色图像检索。
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