这是一个图象处理的源代码，将一个图像 灰度均衡化，使得原有图片更清晰...

关于最大流问题，与最大匹配的讲解。内容比较浅显易懂。-On the maximum flow problem, with the largest matching explained. The study were easy to understand.

讲述了指纹登记、注册原理，对研究指纹的朋友有一定的帮助-About the fingerprint registration, register principle, the study of fingerprints has some friends to help

Fast computation of a discretized thin-plate smoothing spline for image data

本文件实现了在OpenCV开发环境下的Gabor，可以直接加入OpenCV作为开发文件调用。-Gabor based on OpenCV.

稿件名称：VC图像处理－－边缘检测篇 稿件作者：耿迅 程序名称：ImageTest5 运行环境：Win XP； 注意事项：-Manuscript name: VC Image Processing- Edge Detection Part manuscripts Author: Geng Xun Name: ImageTest5 operating environment: Win XP Note:

基于特征点检测匹配的运动补偿方法，然后通过补偿的差分图像法来检测移动平台下的运动目标-Based on feature point detection method of matching motion compensation, and then through the compensation differential image method to detect the mobile platform under the moving target

基于mfc的轮廓提取程序，支持多种算子提取轮廓，有边缘检测，hough变换等功能。-Mfc based on the contour extraction process, supports a wide range of contour extraction operator, has edge detection, hough transform functions.

上网加速工具与源代码-accelerate Internet tools and source code

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.

对输入图像进行圆形hough变换。并显示其大小。-hough transform to the input image. energy level will be display