在提取纹理特征时，为了减少计算量，首先对原图像进行压缩和灰度化。
In extracting texture characteristic, to cut down the amount of calculation, we compress the image and convert it to gray image.
针对不完全小波树形结构分解提取纹理特征仅对清晰度高的图像效果佳，运算速度慢的问题，提出基于形态学预处理的不完全小波树形分解快速提取图像纹理特征的算法。
Low operation speed and being only fit for high quality images are the disadvantages of incomplete tree-structured wavelet. To deal with this problem, a new algorithm was proposed.
内容涉及声图像的预处理、纹理和形状特征的提取，以及分类器的设计等。
The contents in the paper include acoustic image preprocessing, feature extraction of texture and shape, and classifier design.
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