opencv249SIFT

Lee的经典的多分辨率B样条拟合方法（multi-level B-spline fitting）的VC源代码。广泛应用于图形图像处理，CAD等领域。(Lee s classic multi-resolution B-spline fitting method (multi-level B-spline fitting) of the VC source code. Widely used in graphic image processing, CAD and other fields.)

这个程序demo了怎样使用glCopyToTexture函数绘制。这个纹理是应用在一个立方体上的。(This app demonstrates how to render to a texture using the glCopyToTexture function. I have used one of my old projects to create a interesting effect (Blending colors). This is rendered to a viewport and then copied to a texture. The texture is then applied to a cube.)

高光谱图像的地物分类技术，对光谱分析并对比检测出地景的算法(Fifth hyperspectral image classification techniques, algorithms for spectral analysis and contrast detect landscapes)

先进行图像的预处理，采用中值滤波，梯度增强。基于边缘帧差法实现前景检测(first image preproceing，the median filtering，grdient enhancement。based on edge detection method of frame to realiase prospect)

一种改进的基于蚁群算法的图像边缘检测文献，前沿论文(ant colony system,matlab)

视频车辆检测，主要是介绍视频中的车辆运动目标的检测和跟踪计数(The detection of video vehicle mainly introduces the detection and tracking of moving targets in video)

输入一组数据，xy值，用来拟合椭圆。只要改变输入数据，该代码就可以直接使用。另附上椭圆拟合算法。(Enter a set of data, xy values, used to fit ellipses. Just change input data, the code can be used directly. Attached on the ellipse fitting algorithm.)

用于图像检测的正态分布计算的c代码实现，现在将这个函数写在头文件中了(Normally distributed computing for image detection of the c code, this function will now be written in the header file in the)

说明：  VC++ 图像处理类库CxImage源代码，CxImage是一个可以用于MFC 的C++类，可以打开，保存，显示，转换各种格式的图像文件,比如BMP, JPEG, GIF, PNG, TIFF, MNG, ICO, PCX, TGA, WMF, WBMP, JBG, J2K 等格式的文件。可以实现BMP<->JPG，PNG <>TIFF格式等等的转换。 (VC++ image processing library CxImage source code, CxImage is a can be used MFC' s C++ classes, you can open, save, display, convert various formats of image files, such as BMP, JPEG, GIF, PNG, TIFF, MNG, ICO, PCX, TGA, WMF, WBMP, JBG, J2K and other formats. Can achieve BMP &lt -&gt JPG, PNG &lt &gt TIFF format conversion, etc..)

中值滤波程序 对图象选定区域进行排列中值 滤波(median filtering of images selected procedures region with median filtering)