用于图像处理的Huffman方法的源代码

机器视觉的开发包，包括摄像机的标定，图像分割，等。-Machine vision development kit, including camera calibration, image segmentation, and so on.

VB将图像拖动到任意打开的窗口上，比较有意思，你只需拖动窗体中的小箭头到任意目标窗体，松开鼠标后图像就跑到目标窗体上了，不过程序还需要完善，有时候图片会被遮挡住，只实现了基本的思路，不是太常用，就当是一个学习资料吧。-VB drag the image to any open window, the more interesting, you just drag the form of small arrows to any objective form, release the mouse after the picture ran on the target form, but the program also need to perfect, and sometimes images will be blocked to live, only to achieve the basic ideas, not too common, it is a learning information when the bar.

The source is to detect templates of motion object.This template is very useful in such field like face recognition, machine control,etc.

供摄像机标定用的共面模板角点提取算法，以及摄像机标定算法，-camera calibration for the coplanar Corner template extraction algorithm, and camera calibration algorithm

用于图像分割的matlab程序工具包！！里边有很多种方法-Matlab program for image segmentation tool kit! ! There are many ways inside。。

一个多尺度边缘检测实例，方法是： 1、先对图像进行3个尺度的小波变换； 2、求小波系数的模值及其梯度方向； 3、确定模的极大值，即候选边缘点； 4、通过反变换合成3个尺度的模的极值图像-A multi-scale edge detection example, the method is: 1, first image of the three-scale wavelet transform 2, and the modulus value of wavelet coefficient and its gradient direction 3 to determine the mode of great value, that is, the candidate edge points 4, through the anti-transform-scale synthesis of three-mode images of the extremum

基于Gabor滤波器的图像纹理特征提取，Gabor，纹理特征-Gabor filter-based feature extraction of image texture, Gabor, texture features

processing image contrast-contrast image processing

基于mutual information的图象配准程序-based on mutual information of the image registration procedures

算法特点： (1)可检测低对比度直线(可根据感兴趣问题的边缘强度调整)； (2)编程接口简单，集成移植非常容易，算法可输出图像中每条直线的起点、终点、斜率等参数； (3)程序代码完全工程化设计，对320×240图像的处理速度可达15帧/秒； 测试方法： 在安装有USB CMOS摄像头的计算机上直接运行本程序即可看到实时检测直线的处理效果(采用不同颜色表示不同方向的直线)。 (可用于立体视觉、摄像机标定、人体运动分析、智能交通道路检测、工业生产监测等) -Algorithm features: (1) can detect low-contrast line (which can be the basis of issues of interest to adjust the edge intensity) (2) The programming interface is simple, very easy to transplant integration, the algorithm can output images in a straight line for each starting point, the end of the slope and other parameters (3) code fully engineered design, on the 320 ⊙ 240 image processing speeds of up to 15 frames/s testing methods: in the installation of USB CMOS camera has a computer running the program directly to see real-time Detection of linear treatment effect (using different colors in different directions that a straight line). (Can be used for stereo vision, camera calibration, human motion analysis, intelligent traffic detection,