基于DCT的数字水印的生成和提取，分别在两个DCT.m和IDCT.m两个文件中...

图象灰度变换的源代码 VC6.0下调试 图象灰度变换的源代码 VC6.0下调试-Image gray-scale transformation of the source code under VC6.0 debugger image gray-scale transformation of the source code under VC6.0 debugger

基于Graph Cuts计算机视觉立体视图匹配算法-Computer Vision Graph Cuts Based on three-dimensional view matching algorithm

计算图像HSV分量的数值，可用于图像颜色分割的统计-Calculated image HSV component values can be used for image color segmentation statistics

物体跟踪，基于OPENCV和VC++开发的，已经试验过能成功-Object tracking, and OPENCV based on VC++ development has been tested successfully

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.

可对图像进行几何变换、灰度变换、空域滤波、边缘检测等的VC++程序源代码-Geometry of image transform, gray level transformation, air filtering, edge detection, etc. VC++ Source code

vc编写适合vc编写数字图像处理人初学，容包含大多数流行图像处理算法，有一定启发意义-vc prepared for the preparation of digital image processing vc were learning, the program contains the most popular image processing algorithms, inspired by the meaning of a certain

直方图均衡化，实现灰度图像的均衡化，能有效的实现图像的增强目的!-Histogram equalization to achieve a balanced gray-scale images, and can effectively achieve the purpose of image enhancement!

这是我前一段时间收集的一个关于图像处理的代码，真可谓是丰富多彩。一定会您有用。里面涉及各种关于图像处理的源代码。-this is a magic image processing sourc code, whic i got the other day. it must be useful for people who research image compression

基于OpenCV的图像匹配程序，可达到亚象素，对图像匹配有很大的帮助！-OpenCV-based image matching procedure, can achieve sub-pixel of the image matching has a great help!