Laplacian sharpening (edge detection) MFC programming very practical edge detect...

Forward-Backward MHI(前后向运动历史图)是一个快速有效的运动目标检测方法，本程序正是实现2006年Zhaozheng Yin and Robert Collins的“Moving Object Localization in Thermal Imagery by Forward-backward MHI”文献中的方法。此程序可以很方便的对该方法的优缺点作出评判。给运动目标检测器的选择提供了除“帧间差”和“背景相减”外的又一方法。 本程序基于OpenCV。-Forward-Backward MHI (before and after the historical figure to the movement) is a fast and efficient moving target detection methods, this program is to achieve in 2006 Zhaozheng Yin and Robert Collins of the " Moving Object Localization in Thermal Imagery by Forward-backward MHI" in the literature method. This procedure can easily judge the advantages and disadvantages of the method. To the moving target detector choose to provide that except " bad frames" and the " background subtraction" another way outside. The program is based on OpenCV.

一个关于V C + + 的教程，很不错的，主要用于图像处理-A VC++ The tutorial, very good, mainly for image processing

BP神经网络，可以处理图像进行分类等各种处理的源码-BP neural network image processing source code

在MATLAB下的很多经典的图象分割酸法-In MATLAB under a lot of the classic image segmentation acid

一个图像修复的程序，可以去掉图像中得目标，处理前将需处理得目标涂成红色，执行程序即可。-An image restoration procedure, you can remove the image in a goal, will be required to deal with before the deal was the target painted red, the implementation of procedures.

能自动将字符编码成PDF417的二维条形码，并打印成PS文件-automatically character encoding into PDF417 two-dimensional bar code and print documents into PS

MATLAB最小二乘法椭圆拟和的问题，能够根据检测点的坐标拟合出椭圆方程-MATLAB least squares ellipse fitting problem, able to detect the coordinates of points of elliptic equations fitting

图像灰度变换的一般算法：图像反色，线性变换，阈值分割，灰度均衡，直方图显示-The image gray-scale transformation of the general algorithm: Image anti-color, linear transformation, threshold segmentation, gray balance, histogram display, etc.

裁剪算法采用java实现，包括LiangBarskyClip和Sutherland-Hodgman_Clip的实现-Clipping algorithm uses the java implementation, including LiangBarskyClip and Sutherland-Hodgman_Clip realization

Matlab实现自适应Huffman哈夫曼编码，这个Matlab实现的程序，实现用于一维8位或16位整数数组的自适应Huffman哈夫曼编码。-Matlab realize Huffman Adaptive Huffman Coding, the Matlab realize the procedures used to realize one-dimensional 8-bit or 16-bit integer array Huffman Adaptive Huffman Coding.