提出一种新的基于仿射几何的仿射不变特征提取方法，适合于目标的识别和图像的匹配。
A new affine invariants based on affine geometry for object recognition and matching is proposed in the paper.
通过将对数极坐标和傅立叶变换结合，完成旋转不变的傅立叶纹理特征提取。
In this paper, we incorporate Fourier transform with Log-Polar transform to achieve rotation invariant texture analysis.
提出一种以目标检测、目标分割、目标方位角估计和目标不变性特征提取为线索的SAR目标识别框架。
We propose a multistage SAR target recognition process based on target detection, target segmentation, target aspect estimation and invariant feature extraction.
充分利用双树复小波变换的旋转不变性、良好的方向选择性以及有限的冗余等优点，将其有效地应用于纹理特征提取过程中。
The excellent characteristics of rotation-invariance, good orientation selection and finite redundancy are fully utilized, and applied in texture feature extraction.
本文研究的SIFT算法正是一种基于局部不变量的特征提取算法。
The SIFT algorithm is proposed in this study is a feature extraction algorithm based on local invariant.
由于局域波时频谱可以表示为灰度图像。因此，利用图像信息的不变矩进行故障特征提取。
Because the Local wave T-F spectrum can be showed in the gray image, so we use the moment invariants of time-frequency image as the fault features.
图像的局部特征尺度在进行特征提取和构造尺度不变量时非常重要。
Local characteristic scale of images plays an important role in feature extraction and local scale invariant construction.
摘要：针对图像特征提取与匹配的适应性和准确性的问题，本文提出将尺度不变特征变换算法应用到图像特征点提取与匹配。
Abstract: in order to improve the stability and reliability of image matching, this paper applied the scale invariant feature transform algorithm to image matching.
摘要：针对图像特征提取与匹配的适应性和准确性的问题，本文提出将尺度不变特征变换算法应用到图像特征点提取与匹配。
Abstract: in order to improve the stability and reliability of image matching, this paper applied the scale invariant feature transform algorithm to image matching.
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