This thesis is emphasis on how to use this characteristic to extract feature of image. This thesis introduces the theory of wavelet transform, firstly.
论文首先简要介绍小波分析的理论基础,然后将小波分析理论运用于图像处理,着重探讨了利用小波变换做图像特征提取的方法和旋转伸缩不变性描述的方法,并给出具体算法。
参考来源 - 基于小波分析的图像特征提取方法研究·2,447,543篇论文数据，部分数据来源于NoteExpress
The proposed methods only use feature of image to analyze, and have universal applicability.
该方法仅利用图像本身的特征进行分析，具有普遍的适用性。
Using black and white can not only show all feature of image but also be in favor of doing more processing by computer.
黑白二色就足够表示指纹的纹线信息，也有利于用计算机的进一步的判断和处理。
The test shows that multi-scale Lempel-Ziv complexity can be used as an image classification method or as a feature of image classifier.
该结果说明：不同尺度下复杂性的差异可以作为图像分类的新方法或者作为现有分类器的特征。
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