一个简单的ＢＭＰ图像显示程序，ＶＣ＋＋写的，做图像处理的可参考．...

Enhancement code for image processing

采用拉普拉斯算子对灰度图像进行边缘监测功能的实现-Laplacian using gray-scale images on the edge of monitoring the achievement of

利用vc开发的源代码，功能是对图像的裁剪-Vc developed using source code, function is the image of the cutting

本程序利用小波变换的方法来获取图像的轮廓 来进行图像配准 先用小波变换检测图像中的边缘 在轮廓中寻找最长的轮廓 计算每间一点的曲率 然后对这些数据匹配 进行图像配准 找到图像的变换参数-This procedure using wavelet transform method to obtain the outline of the image to image registration using wavelet transform edge detection of images to find the longest in the outline of the outline of the calculation of the curvature of each point and then match these data to find the image registration image transformation parameters

可用于图像的灰度修正，图像平滑及中值滤波及图像锐化等。-Can be used to image gray-level correction, image smoothing and median filtering and image sharpening and so on.

能够完整实现运动物体的检测ydpd.dsp This file (the project file) contains information at the project level and is used to build a single project or subproject. Other users can share the project (.dsp) file, but they should export the makefiles locally. ydpd.h This is the main header file for the application. It includes other project specific headers (including Resource.h) and declares the CYdpdApp application class. ydpd.cpp This is the main application source file that contains the application class CYdpdApp.-Able to realize a complete detection of moving objects ydpd.dsp This file (the project file) contains information at the project level and is used to build a single project or subproject. Other users can share the project (. Dsp) file, but they should export the makefiles locally.ydpd.h This is the main header file for the application. It includes other project specific headers (including Resource.h) and declares the CYdpdApp application class.ydpd.cpp This i

不用MATLAB自带函数求解灰度图像的直方图-MATLAB function to solve do not own histogram

功能强大的图像合并程序，用python实现，底层调用GDAL。-Powerful image merging process, using python implementation, the bottom is called GDAL.

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.

多姿态人脸数据库，可用于非理想条件下人脸识别中的姿态估计问题，包括63种不同姿态，人脸水平方向旋转角度从-60度到60度，角度间隔15度，竖直方向旋转角度为-60度，-30度，-15度，0度，15度，30度，60度。-face database including 63 different poses，can be used in pose estimation of face recognition under unsatisfied condition.