资源列表
motempl.rar
- 通过摄像头识别运动目标的运动方向，需要opencv1.0支持，设置project/setting/link/input 添加cxcore.lib cv.lib cvcom.lib highgui.lib comctl32.lib 即可编译运行,Through the camera to identify the movement direction of moving targets, the need for opencv1.0 support, set up project/setting/
poissonSolver.rar
- a c++ code to do the poisson editing,a c++ code to do the poisson editing
zengqiang.rar
- 一个重要的图像增强工具包，其中有不少是本人改进后的成果 ，与大家一起分享,An important image enhancement tool kit, some of which are improved my results, to share with you all
leaf.rar
- 计算叶子面积周长用到图形图像处理的边缘检测算法,Circumference of the leaf area calculated using graphics image processing edge detection algorithm
ImageProcessing.rar
- 用matlab编写界面，实现直方图均衡化、平均滤波、梯度滤波、Laplacian滤波、Kirsch滤波、Sobel滤波、Prewitt滤波、高频提升等多种功能,Matlab prepared to use interface, the realization of histogram equalization, the average filter, Gradient filter, Laplacian filter, Kirsch filter, Sobel filter, Prewitt f
interpolation.rar
- 用matlab语言实现双线性内插算，可设图像宽度和高度按不同的比例放大缩小,Matlab language used bilinear interpolation operator can set the image width and height according to different zoom ratio
facedetection.rar
- Visual C++环境下开发的人脸检测系统,包含整套工程文件,很有意义和价值,Visual C++ Environment developed Face Detection System, including the full set of engineering documents, meaningful and value
Camshift_color_trace.rar
- opencv 下利用Camshift算法进行彩色目标跟踪,opencv using color Camshift target tracking algorithm
反交错处理，去除锯齿，隔行转逐行
- 反交错处理，去除锯齿，隔行转逐行，输入为yuyv序列,De-interlacing to remove the sawtooth, interlaced to progressive, YUYV input sequence
code.rar
- 此原碼是兩種比較常見的內插法,分別是鄰近內插法及雙線性內插法,希望可以幫助到大家,The original code is the more common two types of interpolation, which are adjacent interpolation and bilinear interpolation, I hope you can help to
nsct_toolbox.zip
- 非下采样的contourlet变换，基于方向滤波器可以采集到不同方向的图像信息。,Non-down-sampling of Contourlet transform, based on the direction of filter can be collected from different directions of the image information.
k-means_cluster.rar
- 通过将一幅图像的sift特征提取出来，然后对他们采用k均值方法进行聚类,By an image feature extraction sift out, and then on their way to the use of k-means clustering