然后通过对基元特征进行加权投影统计，得到图像的方向性、对比度等纹理特征，这些特征可以更好的适应人类视觉特性。

The texture features such as direction and contrast of the image can be obtained from weighted projection statistics of primitive feature, which are more matched with human vision.

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把小波变换和ICA算法相结合，扩展ICA纹理基元的空间尺度描述能力，使其能准确分割有较大纹理结构的纹理图像。

In order to extend the spatial describing ability of ICA basis images, wavelet transform was combined with ICA, which make it be able to segment texture images with large textons.

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对于SAR图像线状目标提取来说，线基元提取是一个非常重要的步骤，如何选择最合适的线基元提取方法影响整个算法的成败。

Since primitive line segments extraction is an important procedure, how to select the proper line segments extraction approach is the key to the extraction of linear object of SAR images.

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