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车型识别图像处理MATLAB代码可运行适合新手入门只用(car recognization adapted rookie study playplay)

分水岭算法的实现,用VC++语言实现，构成可靠的算法实现(the implement of the watershed)

vc++ 数字图象处理 很好用我看了以后收益非浅希望大家喜欢(vc digital image processing with very good after I read greatly benefit hope you like)

平常经常用到的一个小程序，两个矩阵相乘的求法(Common often USES a small program, two of the matrix multiplication is also given)

SIFT特征提取 http://www.opencvchina.com/forum.php?mod=viewthread&tid=209&fromuid=267 (SIFT feature extraction http://www.opencvchina.com/forum.php?mod=viewthread& tid=209& fromuid=267)

输入一个带权无向图的顶点数、边数、各条边信息（两个顶点和权值），建立该图的邻接矩阵结构，输出该邻接矩阵。将上述无向图邻接矩阵转换为邻接表结构，输出该邻接表；根据该邻接表对无向图进行深度优先遍历序列和广度优先遍历序列，并输出遍历结果；用prim算法实现构造该带权无向图的最小生成树，并将该最小生成树的各条边信息输出。(Enter a weighted undirected graph with vertices, edges, each of the side information (two vertices and weights), the establishment of the adjacency matrix structure, the output of the adjacency matrix. The above undirected graph adjacency matrix into adjacency list structure, the output of the adjacency list according to the adjacency table undirected graph depth-first traversal sequence and breadth-first traversal sequence, and outputs through the results using prim algorithm construct the weighted undirected graph minimum spanning tree, and the minimum spanning tree information on respective sides of the output.)

说明：  PCL+ MFC+ Visualization 点云显示(PCL+ MFC+ Visualization)

从Cbitmap派生的位图类，可通过指定一种颜色把一幅位图变透明，而它的使用差不多同Cbitamp一样简单。类中包含了两个文件：CISBitmap.cpp和CISBitmap.h，使用时附加进工程，可快速实现BMP位图图像的透明处理。(Cbitmap derived from the bitmap type, you can specify a color by a bitmap becomes transparent, and it s almost as simple as using the same Cbitamp. Class contains two files: CISBitmap.cpp and CISBitmap.h, into the use of additional works can be quickly processed to achieve a transparent bitmap BMP images.)

说明：  很好用的三维重建软件，VisualSFM软件允许上传一系列图像，它从这些图像中找到每一个图像的特定特征，利用这些特征信息重建出3D模型的稀疏点云，而后还可进行稠密点云重建。(The VisualSFM software, a good 3D reconstruction software, allows uploading a series of images. It finds the specific features of each image from these images, and USES these feature information to reconstruct the sparse point cloud of the 3D model, and then it can reconstruct the dense point cloud.)

图像平移处理，可以图片进行平移变换处理，提供演示图片(Image translation process, it can image pan transformation process provides demonstration image)