用OpenCV写的图象旋转和缩放的程序,适合初学计算机视觉的朋友...

为了更好的达到图象处理的目的,本内容主要讲解并实现了图象增强算法,-In order to better achieve the purpose of image processing, the contents of the main on and realize the image enhancement algorithm,

一个可以检测人脸的系统，大家下载看看，相互交流交流，呵呵。-A system can detect human faces, we download to see the mutual exchange of communication, huh, huh.

此文件包含实现把一个图像的颜色取反操作，也可恢复回来。-This file contains an image to realize the color of the anti-access operations, but also restore back.

This toolbox implements the algorithm in a fairly general way in a C file that can be called from Matlab. It allows to perform the traditional NL-means for denoising (for both B&W and color images) but also to use an arbitrary set of patches to perform the denoising. -This toolbox implements the algorithm in a fairly general way in a C file that can be called f rom Matlab. It allows to perform the traditiona l NL-means for denoising (for both B

这是一个图像显示的例子，对于刚接触图像处理的人来说是个不错的例子，本程序实现图像的打开和显示功能。-This is an example of image display for image processing刚接触person is a good example of this procedure to open and realize image display function.

VC++实现的物体跟踪程序 opencv 效率还可以，挺不错的-object tracking

几种比较常用的背景分割算法可以有效地实现图像和背景的分割

自己随便输入的数据自动生成等高线，算法完整，功能完善。-Not enter their own data to generate contour lines automatically, the algorithm complete, fully functional.

利用OpenCV 的人脸检测与定位,对于初学者学习OPENCV 和Visual c++d的使用将是相当有帮助的-OPENCV AND Visual c++ 6.0开发的计算机视觉

边界方向的直方图统计。采用canny算法实现。 测试图片说明：（图像路径名请在main函数中AnsiString name="1.bmp" 中设定) 1.bmp、2.bmp用来测试尺度变换后图像的识别； 3.bmp、4.bmp用来测试尺度变换后图像的识别； 2.bmp、2_shift.bmp用来测试平移后图像的识别。 实现输出灰度图、平滑图、边缘图以及双阈值处理后的边缘图； 运行后文件夹应该有Image1.bmp,Image2.bmp,Image3.bmp,Image4.bmp； 实现输出灰度图、平滑图、边缘图以及双阈值处理后的边缘图； 边界直方图数据和归一化后直方图数据分别保存在histogram.txt和NormalHistogram.txt中。-Border direction histogram statistics. Canny algorithm used. Testing Photo caption: (image path name in the main function AnsiString name = 1.bmp set) 1.bmp, 2.bmp used to test scaling image identification 3.bmp, 4.bmp used to test After scaling the image identification 2.bmp, 2_shift.bmp used to test post-translational image recognition. Realize the output grayscale, smooth map, edge map, as well as dual-threshold edge map after the treatment running folder should have Image1.bmp, Image2.bmp, Image3.bmp, Image4.bmp realize grayscale output, smooth map, edge map, as well as dual-threshold edge map after the treatment border histogram data an