bianhuan

基于多分辨率的NSST变换工具箱，用于图像融合效果好，且速度优于NSCT。(Based on Multi-resolution NSST conversion kit for image fusion effect is good, and the speed is better than NSCT.)

说明：  Open-circuit Three-phase SVPWM Modulation of Z-source Inverter

加入乘性噪声和椒盐噪声的图像进行维纳滤波和均值滤波，采用不同窗口看效果(Add the image of multiplicative noise and salt and pepper noise for Wiener filtering and mean filtering, using different windows to see the effect)

说明：  Donoho提出的小波阀值去噪的基本思想是将信号通过小波变换（采用Mallat算法）后，信号产生的小波系数含有信号的重要信息，将信号经小波分解后小波系数较大，噪声的小波系数较小，并且噪声的小波系数要小于信号的小波系数，通过选取一个合适的阀值，大于阀值的小波系数被认为是有信号产生的，应予以保留，小于阀值的则认为是噪声产生的，置为零从而达到去噪的目的。尺度不变特征变换（Scale-invariant feature transform，SIFT），是用于图像处理领域的一种描述。这种描述具有尺度不变性，可在图像中检测出关键点。(The basic idea of wavelet threshold de-noising proposed by Donoho is that the wavelet coefficients generated by the signal after passing through the wavelet transform (Mallat algorithm) contain the important information of the signal. After the wavelet decomposition, the wavelet coefficients of the signal are larger, the wavelet coefficients of the noise are smaller, and the wavelet coefficients of the noise are smaller than the wavelet coefficients of the signal. By selecting a suitable threshold, the wavelet coefficients of the noise are larger than the valve The wavelet coefficients of values are considered to be generated by signals, which should be preserved. The ones less than the threshold are considered to be generated by noise, which is set to zero to achieve the purpose of denoising.)

meanshift图像分割 1.mean shift 的迭代过程只做了一次（为了简单） 2.对图像中的某一点进行平移时，只考虑了距离它小于2*hr的点，而不是图像中所有的 点。 3.实验过程中只用到了gauss核，虽然提供了method的选择，但在进行值域加权时只用 到gauss核，如果需要请自己改正。(meanshift segmentation)

彗星窗口水印源码例程程序结合易语言模块彗星窗口水印.ec，实现窗口水印效果。(Comets window watermark source routine program combining easy language module comet window watermark .ec, achieve window watermark .)

图像处理中的数学修炼

【实例简介】 里面包含了DataGrid与ListBox的从主表样式设计，并绑定好数据，还有拓展菜单显示和隐藏-还有状态灯样式-系统托盘设计

Shap Context based Shape recognition

自己编写图像旋转； （1）可以任意设定旋转中心； （2）旋转通过坐标矩阵和旋转矩阵一步到位，得出旋转之后的对于坐标矩阵；（myrotate和myrotate1功能一样，后者只是在前者基础上，将旋转矩阵和平移矩阵集成到一起了）； （3）自带构造测试矩阵，可以直接运行；(rotate img by myself all center )