kernel

matlab实现量子图像加密，包括Arnold变换，双随机相位变换，信息熵，相邻像素相关性分析(matlab quantum encryption, including Arnold transform, double random phase transformation, entropy, correlation analysis of adjacent pixels)

OCR的概念是在1929年由德国科学家Tausheck最先提出来的，后来美国科学家Handel也提出了利用技术对文字进行识别的想法。而最早对印刷体汉字识别进行研究的是IBM公司的Casey和Nagy，1966年他们发表了第一篇关于汉字识别的文章，采用了模板匹配法识别了1000个印刷体汉字。(The concept of OCR in 1929 by the German scientist Tausheck Handel first put forward later, scientists in the United States also put forward ideas of text recognition using technology. In 1966, they published their first article on Chinese character recognition, using template matching method to recognize 1000 printed Chinese characters.)

图像处理中比较有用的二维图像光谱分析，Matlab源代码(Image processing more useful two-dimensional image spectra, Matlab source code)

WPF动画实例 Animation

bemd分解得到图像基本imf，二维希尔伯特变换(Image basic IMF obtained by BEMD decomposition.Two-dimensional Hilbert transform)

利用梯度算法--最快下降梯度算法进行图像的边缘检测(Gradient algorithm- the fastest decline in the gradient algorithm for image edge detection)

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)

矩形检测：用霍夫直线检测方法来对图像中的矩形进行检测。开发环境：vc6，需要安装OpenCV。OpenCV只是用来读取和显示图像等简单操作。(Rectangle detection: Hough line detection method using the image of the rectangle to test. Development Environment: vc6, need to install OpenCV. OpenCV is used to read and display images such as simple operation.)

VC++图像平滑处理+程序源码，实现图象的平滑（去噪声），锐化功能，测试时请在C盘下放一个测试用的Bmp图片，路径：C: est.bmp，没有的话没法测试。如上图所示是水平平滑处理，可以对比下，不过感觉颜色失真了，有兴趣的看一下。命令行编译过程如下： 　　vcvars32 　　rc bmp.rc 　　cl smooth.c bmp.res user32.lib gdi32.lib(VC++ image smoothing+ program source code, to achieve a smooth image (to noise), sharpening function in the C drive when testing a test of decentralization Bmp picture, path: C: test.bmp, no words can not test . Is shown above the level of smoothing, you can compare the next, but the feeling of color distortion, interested look. Command-line compiler as follows: vcvars32 rc bmp.rc cl smooth.c bmp.res user32.lib gdi32.lib)

混合像元分解，是定量遥感中非常重要的组成部分之一，在反演地表参数时是必须要考虑的因素之一，文中罗列了分解的一些方法(mixed pixel decomposition, is the quantification of remote sensing very important component of one of the the inversion of surface parameters is to be considered one of the factors, the paper listed some of the decomposition method.)