采用Visual c++ 进行图像处理，已经经过检测，非常实用，本源码主要是代码转换...

Visual C++MATLAB图像处理与识别实用案例精选之二值化变换的例子-Visual C MATLAB image processing and recognition of practical cases selected bis value transform example

将YUV文件中每帧的数据转换成OpenCV中的Ipl-ertdfvfh wfsddf.

包含图像的DCT变换，方块编码，直方图均衡，维也纳滤波等28种基础处理，用VC实现，包含测试图像，比较有实用价值-Contains images of DCT transform, box codes, histogram equalization, Vienna filtering based on 28 kinds of treatment, using VC realize, including the test images, comparison has practical value

vc图像处理的程序3 实例 vc程序 文件名linetrans-vc image processing procedures 3 examples vc program file name linetrans

不同方式的多边形填充-different forms of Polygon Fill

对图像进行垂直镜像处理的源代码，在VC++6.0环境下编译通过。-right vertical mirror images of the source code, the VC 6.0 compiler through the environment.

维纳滤波处理 //LPSTR lpDIBBits:指向源DIB图像指针 //LONG lWidth:源图像宽度（象素数） //LONG lHeight:源图像高度（象素数） //函数说明: //该函数用来对DIB图像进行维纳滤波复原操作。-Wiener filter// LPSTR lpDIBBits : DIB images at the source pointer// LONG lWidth : Source image width (number of pixels)// LONG lHeight : source image height (number of pixels)// Function :// function to the right DIB images Wiener filter recovery operation.

基于小波变换的多尺度边缘检测matlab源代码-Based on Wavelet Transform Multiscale edge detection matlab source code

SfS算法，最原始的，绝对经典。对搞计算机视觉图像重构的同志大有帮助。-SfS algorithm, the most primitive and absolute classic. To engage in computer vision image reconstruction comrades of great help.

介绍了视觉颜色空间及其在交互式图像分割中的作用, 实验分析了它的奇异性, 在此基础上, 考虑像素的 空间和色彩分布, 提出了基于区域生长法的多颜色空间、 多度量准则的聚类算法和零碎区域的合并算法, 颜色空间选取HSL 和RGB 两种, 相似性度量包括了种子点、 扩张点和生长区域三个方面, 并用于敦煌壁画图像的分割.-Introduce the visual color space and its application in interactive image segmentation of the role, experimental analysis of its singularity, on this basis, taking into pixel space and color distribution, based on region growing multi-color space, multi-metric criteria clustering algorithm and fragmented region merging algorithm, select the HSL color space and RGB are two similarity measure, including the seed point, the expansion point and the three aspects of regional growth, and for image segmentation in Dunhuang murals.