A new feature algorithm is proposed based on wavelet transform in HSI space to obtain a feature vector with combining information of color, texture and scale.
提出了基于小波变换的HSI空间的彩色纹理墙地砖图像的特征提取新算法，得到具有颜色、纹理和尺度融合信息的特征矢量。
Wavelet analysis has space localization property. It is very effective to analyze the signal singularity and singularity location and scale by wavelet analysis.
小波分析具有空间局部化性质，利用小波分析来分析信号的奇异性及奇异性的位置和奇异度的大小是比较有效的。
By the family of wavelet basis function of wavelet Composition, it can describe the signal time (space) and frequency (scale) domain of the local characteristics.
小波由一族小波基函数构成，它可以描述信号时间(空间)和频率(尺度)域的局部特性。
Then the wavelet transform numerical homogenization gets numerical results at a low cost for solving the original equation in coarse scale space. The numerical results show that th…
计算结果表明：小波数值均匀化方法与精细剖分的有限差分法相比较，既大大地节省了计算时间又获得了较好的精度。
Then the wavelet transform numerical homogenization gets numerical results at a low cost for solving the original equation in coarse scale space. The numerical results show that th…
计算结果表明：小波数值均匀化方法与精细剖分的有限差分法相比较，既大大地节省了计算时间又获得了较好的精度。
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