SWT

说明：  伪Zernike矩特征提取，Zernike矩特征提取，供参考，很有用(Pseudo-Zernike moment feature extraction, Zernike moment feature extraction, for reference, very useful)

集中图像平滑函数对一张含有椒盐噪声或者高斯噪声的图像进行平滑处理的程序，(Image processing)

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.)

说明：  内含多种图像去噪的方法，包括高斯，椒盐噪声等问题(Contains a variety of image denoising methods, including Gaussian, salt and pepper noise and other issues)

在统计学中，皮尔逊积矩相关系数（英语：Pearson product-moment correlation coefficient，又称作 PPMCC或PCCs[1], 文章中常用r或Pearson s r表示）用于度量两个变量X和Y之间的相关（线性相关），其值介于-1与1之间。在自然科学领域中，该系数广泛用于度量两个变量之间的相关程度。它是由卡尔·皮尔逊从弗朗西斯·高尔顿在19世纪80年代提出的一个相似却又稍有不同的想法演变而来的。这个相关系数也称作“皮尔森相关系数r”。(In statistics, Pearson product-moment correlation coefficient (English: Pearson product-moment correlation coefficient, also known PPMCC or PCCs [1], the article used or Pearson s r r representation) is a measure of the two variables X and Y between correlation (linear correlation), a value between-1 and 1. In the natural sciences, the coefficient is widely used to measure the degree of correlation between the two variables. It is made a similar Karl Pearson Francis Galton in the 1880s but made a slightly different idea evolved. The correlation coefficient is also called Pearson s correlation coefficient r .)

sijiequzao 是台雪城老师的四阶去噪模型代码； subspace clustering accuracy of the cod 是子空间聚类正确率代码； TVdual 是ROF模型的原始对偶算法代码； TVH-1fj 是TV_H-1图像分解模型代码； TVl1fj 是TV_L1图像分解模型代码。(" Sijiequzao" is the teacher' s desk Syracuse Fourth Order denoising model code " subspace clustering accuracy of the cod" subspace clustering is the correct rate codes " TVdual" original ROF model dual algorithm code " TVH-1fj" is TV_H-1 image decomposition model code " TVl1fj" is TV_L1 image decomposition model code.)

介绍活动轮廓模型的原理，根据作者原创论文编写的matlab程序。(Introduces the principle of active contour model, according to the author of the original paper writing in matlab.)

图像匹配，在一副图象中搜寻子图像，寻找特征点(Image matching, in a sub-image search images to find the feature points)

DCT1.m为一维离散余弦变换exp22.m为对一幅灰度图像进行离散余弦变换 exp23.m为对一幅彩色图像进行离散余弦变换(DCT1.m for the one-dimensional discrete cosine transform exp22.m for a gray image exp23.m discrete cosine transform for the color of an image discrete cosine transform)

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