MotifOriginal

这是关于pca的文件，说明实现pca的降维(This is the file on pca, achieve pca dimensionality reduction)

说明：  小波分析增强滤波。小波变换的原理类似傅里叶变换，只是把三角函数基换成了小波基。与傅里叶变换不同，小波变换有两个变量：scale和translation。scale控制小波函数的收缩，其导数即为频率，translation控制小标函数的平移，平移量对应时间。通过信号的伸缩平移，可以得到某种重合情况，这样积分也会得到一个极大值，不同的是，得到频率成分的同时，还可以知道该频率的时间位置。(Wavelet analysis enhances filtering.The wavelet transform works like the Fourier transform, except that the trigonometric basis is replaced by a wavelet basis. Unlike the Fourier transform, the wavelet transform has two variables: scale and Translation. Scale controls the contraction of the wavelet function, its derivative is frequency, translation controls the translation of the small scale function, and the translation corresponds to the time. By stretching and shifting the signal, you can get some kind of coincidence, so that the integral will also get a maximum, but the difference is that when you get the frequency component, you can also know the time position of that frequency.)

meanshift算法的python实现 + 图像化显示(meanshift with python)

说明：  SVM算法的线性分类，图像分类单幅遥感图像特征提取分类(Linear classification of SVM algorithm, image classification, feature extraction and classification of single remote sensing image)

说明：  主动视觉的摄像机标定程序，基于马颂德的立体视觉标定方法，测试程序可再与我联系！(Active Vision camera calibration procedure, based on Ma Songde Calibration Method for Stereo Vision, testing procedures can contact me!)

说明：  暗通道先验和CLAHE算法，是基于matlab的算法，找python代码的伙伴可能要失望了(Dark channel prior and CLAHE algorithm)

This program is able obtain the cemtral point of a template in an image.The program gives 4 output images performing diferent kind of filtering, and giving the center of the matchig template.

二维窗口函数，包含汉宁窗，布莱克曼窗，契比雪夫窗等(it creates a 2 dimentional window for a sample image)

说明：  均值比差异图生成，用于SAR图像变化检测，生成差异图(mean ratio difference map generation, used for SAR image change detection, generate difference map)

说明：  图像融合指标，综合熵、空间频率、互信息等等，一共7种。在图像处理后的质量评价方面很有用(Fusion index, comprehensive entropy, spatial frequency, mutual information, etc., a total of 7 species. In the image processing is useful for quality assessment)