testArea

基于OpenCV实现的图像切割程序，通过程序中参数设置分块的数量和大小(The project is uesd to break an image into block)

EM算法以及混合高斯模型，c++实现，控制台程序，函数调用很简单方便。可以在低版本vc6.0运行。(EM algorithm and hybrid Gauss model, c++ implementation, the console program, function call is very simple and convenient. Can be run at low vc6.0.)

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.)

实现图像的几何变换，包括图像的平移、镜像变换、缩放、转置以及旋转。(Achieve geometric transformation of image, including the image translation, image transformation, scaling, transpose and rotation.)

基于加权最小二乘最优化框架的滤波器。可用于实现图像的分层编辑。(Weighted least square)

基于小波的视频图像压缩研究进展 基于小波的视频图像压缩研究进展(Wavelet-based video image compression research progress)

sift匹配算法 尺度不变变换 特征描述子 特征点匹配 (sift match)

C++ based JPEG on grayscale image DCT -> Quantization -> ZigZag -> DPCM, Runlength,-> Entropy Coding

说明：  VC++6.0图像处理算法集:图象的几何变换、平滑(去噪声)、锐化、腐蚀、膨胀、细化算法、半影调、抖动、直方图修正、彩色变换、腐蚀，膨胀，细化等算法，并有可执行文件供试用，并附有配套电子收，是图像处理入门的好资料。(VC++ 6.0 image processing algorithms: image geometric transformation, smoothing (to noise), sharpening, corrosion, expansion, thinning algorithm, penumbral tune jitter histogram of the amendment, color conversion, corrosion, swelling, refinement algorithm, etc., as well as executable files for trial, together with supporting electronic collection, image processing is a good data entry.)

kinect扫描到的人体分离出来，并以二值图显示，且可以保存在本地，丰富的注释帮助理解(kinect body scan to be separated, and binary image display and can be saved locally, rich annotation to help understand)