Semnale_primare_pe_linii_Adrian_Preda

运动目标检测的一些程序，包括帧差法、三帧差分法和混合高斯模型(Moving target detection procedures, including frame difference method, three difference method and Gaussian mixture model)

对Vladimir Kolmogorov，Yuri Boykov大牛的算法杰作——Graph Cut进行使用演示，代码力求精简，可供Graph Cut初学者参考学习。已通过VS2005编译。(Of Vladimir Kolmogorov, Yuri Boykov big cow masterpiece algorithm- Graph Cut for the use of demonstration, the code to be simple, for beginners Reference Graph Cut Study. VS2005 compiler has passed.)

检测鼠标信息，C++Builder精选编程学习源码，很好的参考资料。(Detecting mouse information, C++Builder select learning programming source code, a good reference.)

基于Canny算子检测图像边缘，其中含有非极大值抑制功能。(Based on Canny operator edge detection image, which contains a non-maxima suppression.)

任务：用BFS或是DFS对图进行搜索，实现任何拓扑不连通的块的计算，算法要求写在CBFSSearch类中 工程名：Project_BFS 要求：对于生成的任意拓扑，求出其分枝个数，并输出每个分枝的节点 (Task: Using BFS or DFS for searching the graph to achieve any topology unconnected blocks calculation algorithm requires written in CBFSSearch class project name: Project_BFS Requirements: for generating arbitrary topology, find the number of its branches, and output node of each branch)

索书号文字图像分割 粘连字符切分 文字识别 彩色车牌分割 商标文字分割 文字识别的识别子函数 文字识别的结构特征提取子函数 (Call Number text image segmentation adhesion character segmentation of license plate character recognition color segmentation segmentation trademark character recognition text recognition Functions character recognition feature extraction structure Functions)

说明：  本程序是基于小波和盒维数的车型识别程序，可以选择不同车型，有GUI界面，有图片，有程序，能运行，相信初学者一定能够获益。(This program is based on the wavelet and box dimension of the vehicle type recognition program, you can choose different models, GUI interface, pictures, programs, can run, I believe beginners will benefit.)

使用全变分模型对受噪声污染的图像进行修复(Using the total variation model of the image affected by noise pollution, to repair)

奇异值分解降噪程序，压缩包里有程序的详细说明，内附有word文档的说明(SVD noise reduction program, compression bag has a detailed description of the program, enclosing a word document description)

改进的剪切波变换，用于图像处理，分解层数多，运行速度快(Improved shear wave transform for image processing, decomposition of many layers, fast running speed)