高斯背景建模的C++程序，里面有用到OPENCV。

地图的LOD技术,可以使你的程序的图像在尽可能好下尽可能快-map LOD technology, allows you to process images in the best possible as quickly as possible under

用opencv实现对图像的极坐标转换，logpolor-Opencv realize with the polar coordinates of the image conversion, logpolor

图象处理C源码分析,对学习图象处理入门的很有帮助-Image processing C source code analysis, learning the very useful image processing entry

在内存中位图的对称位图(镜像)(8KB)。此程序是老外写的经典程序，可以拜读一下。-in memory bitmap symmetric Bitmap (mirrored) (8KB). This procedure is a foreigner to write the classic procedure could read about.

艾海舟的图像处理课件！！ 以及旋转测量器的说明和代码-Ai Haizhou image processing software! ! As well as the rotation measurement device description and code

这是绘画bezier曲线的小程序。使用者可以从此处得知如何编写bezier曲线的程序。应用程序便是以c++编写绘成的bezier曲线-This is a Bezier curve drawing applet. From here the user can learn how to prepare the procedures for Bezier curves. Application is to c++ Are ready to prepare the Bezier curve

图像处理的偏微分方程方法中利用GAC水平集方法实现图像分割-Image processing method of partial differential equations using GAC Level Set Method for Image Segmentation

基于组织的粒子群优化的最大类间方差图像多阈值分割-Based on Particle Swarm Optimization organization the largest variance between-class multi-threshold image segmentation

针对传统方法难以可靠估计图像中纹理单一区域像素点视差的问题,将纹理分析应用于立体匹配中,提 出图像分块整体匹配的方法。首先用LBP/C纹理分析方法对图像纹理进行描述 然后进行基于区域生长的扩张检 测,得到纹理单一图像块 最后对图像块进行整体匹配,得到纹理单一区域的稠密视差图。对国际标准图像进行测试, 结果表明该算法能提高纹理单一区域稠密视差图的精度,具有实用价值 -Due to the difficulty of getting disparity of less textured pixels with traditional approach, block matching algorithm with texture analysis was put forward. First, the images were described by LBP/C texture analysis. Then the expansion detection based on region growing was performed, and the less textured blocks were acquired. Finally the dense disparitymap of less textured area was obtained through block matching. The proposed algorithm was tested with the international standard image data and comparedwith some existing algorithms. The experimental results show that the proposed algorithm can improve the accuracy of disparitywhen handling less textured areas and can be used in practic

基于Hough变换的火柴根数检测--Matlab7.0.4上开发-Based on the Hough Transform Detect root number of matches- Matlab7 .0.4 developed