有图像处理界面。使用opencv创建图像处理函数，实现图像导入，显示和二值分割等。...

使用opencv编程导入图像，获得图像的R、G、B分量数据。还可以进行空间转换。-Used opencv to get data of image.

B样条曲线生成模拟-B-spline curves generated simulation

运动目标检测，主要用了中值滤波和均值滤波两种方法进行背景建模-Moving target detection, the main use of the median filter and mean filter for background modeling methods

说明：程序运行过程中要用到wedgelet工具包和wavelet802工具包； wdt-cwtdenoise ：wedgelet去噪算法主函数； 以下函数和其它函数均为被调用函数； DT_CWTdenoise ：复小波去噪函数； 其中：afb，afb2D，afb3D，AntonB，cplxdual2D，cshift2D，dualtree2D，dwt2D，idualtree2D pm，pm4，sfb2D，symextend，unnormcoef，reversecoefDHtgrselect，tee，dtcwtcoef， gencoef等等为复小波去噪时调用函数；-Description: program to run the process to use to wedgelet tool kits and wavelet802 kit wdt-cwtdenoise: wedgelet denoising algorithm main function the following functions and other functions are called function DT_CWTdenoise: Complex Wavelet denoising function which: afb , afb2D, afb3D, AntonB, cplxdual2D, cshift2D, dualtree2D, dwt2D, idualtree2D pm, pm4, sfb2D, symextend, unnormcoef, reversecoefDHtgrselect, tee, dtcwtcoef, gencoef for complex wavelet denoising, etc. when calling function

是图像处理的程序，但是没有完善后面的还请各位大虾添加-Is the image processing procedures, but did not improve the back also please add shrimp

BMP文件读取程序。读取并记录BMP文件颜色数据，并可将颜色数据显示。-BMP file reader. BMP file to read and record the color data, as well as color data.

基于Hough圆变换算法，在图像中寻找圆形-Based on the circular Hough transform algorithm to find the image circle

使用维纳滤波算法进行图像恢复的vc源程序-use Wiener filtering algorithm for image restoration of the source vc

实现了图像参数的获取，中值滤波，迭代阈值分割，半阈值分割等等图像处理功能-Realize the image parameters of the acquisition, median filtering, iterative threshold segmentation, semi-threshold segmentation image processing functions, etc.

30个图像处理的VC++ 源代码，包括256色转灰度图,Hough变换,image_j1,PCA,Walsh变换,对比度拉伸,二值化变换,反色, 方块编码,傅立叶变换,高斯平滑,灰度均衡,均值滤波,拉普拉斯锐化（边缘检测）, 离散余弦变换,亮度增减,逆滤波处理,取对数,取指数,梯度锐化,图象处理,图像镜像, 图像平移,图像缩放,图像细化,图像旋转,维纳滤波处理,用Canny算子提取边缘,阈值变换,直方图均衡.-30 image processing VC++ Source code, including 256 colors to grayscale, Hough transform, image_j1, PCA, Walsh transform, contrast stretching, binarization transformation, anti-color, box encoding, Fourier Transform , Gaussian smoothing, gray balance, mean filter, Laplacian sharpening (edge detection), discrete cosine transform, the brightness increases and decreases in inverse filtering deal, check on the number of check index, the gradient sharpening, image processing, mirror image, image translation, image scaling, image thinning, image rotation, Wiener filtering treatment using Canny edge extraction operator, threshold transform, histogram equalization.