PM

这是一款适用于初学者的应用程序,它可以帮助我们处理图形图像(This is a beginner for the application, it can help us to deal with graphic images)

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)

运用在fluent中的udf，解决边界正弦运动的情况，非常珍贵(Border harmonic vibration UDF, use them in fluent, very precious resource)

这个函数分配一个数据缓冲区与多个颜色指定系统上的乐队。这种类型的缓冲区允许表示彩色图像(例如,RGB)。 这个函数为每个指定分配缓冲区,一个二维表面颜色乐队。您可以使用MbufAlloc1d()和MbufAlloc2d()来创建单独的乐队一或二维 数据缓冲区,分别。 分配一个缓冲区后,我们建议您检查是否操作成功,使用MappGetError(),或通过验证,不是M_NULL返回的缓冲区的标识符。(This function allocates a data buffer with multiple color bands on the specified system. This type of buffer allows for the representation of color images (for example, RGB). This function allocates buffers that have a two-dimensional surface for each specified color band. You can use MbufAlloc1d() and MbufAlloc2d() to create single band one- or two-dimensional data buffers, respectively. After allocating a buffer, we recommend that you check if the operation was successful, using MappGetError(), or by verifying that the buffer identifier returned is not M_NULL.)

Visual C++MATLAB图像处理与识别实用案例精选之　图像中值滤波　算法的源程序，含标准测试图片(Visual C MATLAB image processing and recognition practical case Featured's image filtering operator Law of the source, including standard tests Photo)

匹配算法，可以完美运行，对于初学者有着很好的参考价值(Matching algorithm, can be a perfect run, has a very good reference for beginners)

将某一8位的raw格式图转换为16位的raw格式图 并可输出raw格式图的灰度值至相应文件（.txt文件） 生成的新图用PS打开时与原图基本一致.(It can converted an 8-bit raw format, to an 16-bit raw format and can output raw format diagram of the gray value to the corresponding map file (. Txt files) .The new plan to open with PS are basically consistent with the Original.)

说明：  压缩感知的经典代码，包括观测，稀疏表示，重建，其中观测用的高斯观测矩阵，稀疏用的DCT，重建用的OMP算法(Compressed sensing of the classic code, including observations, sparse representation, reconstruction, observed with a Gaussian observation matrix, sparse use of the DCT, re-use of the OMP algorithm)

c++特征提取，提取图像当中的红色灯笼。。。(c++ feature extraction, image extraction among red lanterns)

《VC++数字图像识别技术典型案例》第九章光学字符识别技术，包括预处理、边缘跟踪和特征提取算法("VC Digital Image Recognition Technology typical case," the ninth chapter of optical character recognition technologies, including pretreatment, Edge tracking and feature extraction algorithm)