实现图像变换与目标跟踪应用OPENCV的源程序

根据：一种可识别破碎图形的特殊广义Hough变换方法 论文，在matlab上做的实验源码，有模版生成，广义哈夫变换代码-In accordance with: A broken identifiable graphics special generalized Hough transform methods papers, in matlab to do experiments on the source, there are template generation, generalized Hough transform code

“visual c++ 实践与提高”一书中的人脸检测源码，很详细，值得参考

一个基于小波变换的边缘提取程序，用matlab实现，速度块，很不错。-one based on wavelet transform edge extraction procedures used Matlab to achieve speed block, very good.

用光流法估计图像的运动，基于像素点的算法-Light flow method estimates the image campaign, pixel-based algorithm for point

边缘检测在图象分割、模式识别、机器视觉等中都有重要作用，人们已研究出很多种边缘检测算法，而哈夫变换和canny边缘算子等是最经典的算法-Edge detection in image segmentation, pattern recognition, machine vision, etc. have an important role, it has now developed a variety of edge detection algorithm, and the Hough transform and the canny edge operator, such as the algorithm is the most classic

Application of kmeans clustering algorithm to segment a grey scale image on diferent classes.

本代码实现的功能：24位位图（BMP）的灰度化。具体实现过程：打开图像文件,找到数据区(每3个字节代表一个象素的R,G,B值),循环扫描,根据RGB的权重,计算出灰度值. 如果要得到256色灰度图,则要新建一个调色板,修改信息头和文件头.-Realize the function of the code: 24-bit bitmap (BMP) of the gray. Concrete realization of the process: Open the image file, locate the data area (3 bytes per pixel on behalf of a R, G, B values), cyclic scan, according to the weight of RGB, gray value is calculated. If you want to get 256 colors grayscale, would create a new palette, modify the header and file header information.

（1）hough1.m计算所有点的直线参数 ，并将参数存入累加数组中； （2）houghpeaks.m文件进行峰值检测 （3）houghlines.m对图像中的线段检测和链接：-(1) hough1.m straight points for the calculation of all parameters, and parameters into the cumulative array (2) houghpeaks.m document peak detector (3) houghlines.m segment the image in the detection and Links:

使用MATLAB进行数字图像处理中的中值滤波，希望对初学者有帮助。-The use of MATLAB for Digital Image Processing in the median filter, and they hope to be helpful for beginners.

图像处理的偏微分方程方法中利用GAC水平集方法实现图像分割-Image processing method of partial differential equations using GAC Level Set Method for Image Segmentation