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这是我的课程设计作业，作用是测试车流量，对车辆进行定位分割，已验证成功内附测试视频(This is my course design work, the role is to test the traffic flow, the vehicle positioning and segmentation, has been successfully included in the test video)

首先通过建立一个可靠的背景更新模型，然后在视频序列中取一帧图像与背景做差得到完整可靠的运动目标图像(This program is used to detect the moving targets by image substraction ,)

高斯列主元消去法，用来解多元线性方程组，从而解决相关的方程组问题(Principal component Gaussian column elimination method used to solve a multivariate linear equations to solve the equations)

说明：  有数字1和2的图片各四十张，利用mat lab读取图片并将其二值化，得到只由0和1表示的矩阵，根据数字的不同特征，选择两个特征值，用来对分类器进行训练，最后用剩下的5个1和5个2来进行测试，看分类器是否可以正确的对数据进行分类。(Figures 1 and 2 pictures of the 40, using mat lab picture and secondly, the value of reading, and received only by 0 and 1, said matrix, according to the number of different features, select the two characteristic values, used to classifier training, and finally with the remaining 5 1 and 5 2 to carry out tests to see whether the classifier can correctly classify the data.)

利用opencv+VC++实现对图像的边缘处理，从而对图像进行检测(Use opencv+ VC++ to achieve the edge of the image processing to the image detector)

关于使用matlab进行医学图像处理的练习题，内附答案(About the use of MATLAB medical image processing exercises, containing the answer)

一种改进的快速加权中值滤波算法，较好的保留了图像的细节(Fast weighted median filtering algorithm, an improved and better retain the image details.)

使用MFC以及Gabor小波处理进行图像的特征纹理提取(Using MFC and Gabor wavelet to extract texture features for image)

这个算法包实现了从多幅拥有共同结构的图像里提取出共同形状的骨架。( This package implements the algorithm for Sketching the Common as described in: Shai Bagon, Or Brostovsky, Meirav Galun and Michal Irani "Detecting and Sketching the Common", CVPR 2010)

Wily book Digital Image processing fundamental dip