KRLS

用微分自相关法实现运动模糊图像模糊参数估计的功能，是目前较少公布的微分自相关法实现模糊参数估计。(Autocorrelation method with a differential image to achieve motion blur blur parameter estimation function, the differential is less published method fuzzy autocorrelation parameter estimation.)

基于MATLAB对输入图像的进行灰度化处理(Grayscale processing of the input image based on MATLAB)

说明：  基于场景的RLS的非均匀校正算法，不同均值滤波器比较。(Scene based RLS nonuniformity correction algorithm, different mean filter comparison.)

说明：  实现opencv的canny算子及其改进，可以自适应生成阈值，包括了几种阈值处理算法(The Canny operator of OpenCV and its improvement can generate threshold adaptively, including several threshold processing algorithms)

根据RBM深度网络（Hinton，2006）进行MINST手写文字的分类器的训练，利用训练得到的权值制作了这个小程序，通过这个程序可以看出训练结果对数据集内的测试样本和训练样本都能进行很好的识别，但是对其他的手写字体识别就没有那么好了。(According to RBM depth network (Hinton, 2006) conducted MINST handwritten text classifier training, using the training to get the right value to produce this small program, this program can be seen through the results of the training data set and the training sample test samples are can be well identified, but on the other handwriting recognition is not so good.)

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 .)

张正友相机标定法中的分步程序，包括计算单应矩阵程序、对标定图像进行初步处理的程序等(Zhang Zhengyou camera calibration method step by step procedures, including computing homography procedures for preliminary calibration of image processing procedures)

小波分析的各种尺度分解包括单尺度分解，多尺度分解以及小波包分解及重构，小波分解重构精简(All kinds of scale decomposition of wavelet analysis include single scale decomposition, multi-scale decomposition, wavelet packet decomposition and reconstruction, and wavelet decomposition and reconstruction.)

矩阵卷积的几种版本：conv函数，矩阵乘法形式，纯矩阵乘法形式(Several versions of matrix convolution: convolutional vision, matrix vision, only-matrix vision)

自己用水平集方法编的，实现了医学图像的分割，效果不错，可试一下(Their allocation by level set method, and realize the medical image segmentation, the effect good, can try)