资源列表
DoImg-Examples
- 《精通Visual c++数字图像处理技术与工程案例》源码，很好的学习资料-" Mastering Visual c++ digital image processing technology and engineering case" source, a very good learning materials
Image-processing-program
- 《精通Visual C++图像处理编程(第3版)》一书中全部的源代码、示例程序的可执行文件以及一些供图像处理测试用的图像文件。-" Proficient Visual C++ image processing program (3rd edition)," a book all the source code, sample program' s executable file, and some image-processing test for the image f
ComputerVision
- 自己收集的关于计算机视觉入门方面的电子书，（计算机视觉与模式识别）。对初学者有一定帮助-Their collection on the computer vision aspects of e-book entry, (Computer Vision and Pattern Recognition). Certainly be of help for beginners
moshishibie
- 机视觉和模式识别（郑南宁）,挺好的，介绍了关于图像分割识别的基础知识-computer vision
texture-analysis
- 这些都是本人收集的关于纹理特征提取与分类的资料，希望对大家的学习有帮助。-These are the datas that I collected on the texture feature extraction and classification, I wish those will be same help for your studies.
chepaishibieCPP
- 一、车型识别 1.首先单击车型识别菜单下的载入图像菜单项（载入背景和前景图像）。 2.然后单击车辆提取菜单项，依次进行图像做差、二值化、开运算、图像去噪、图像填充处理，轮廓提取。 3.最后单击车型识别菜单项，对车辆进行识别。 4.测试图像存储在img文件夹下，车型轮廓模板存储在contour文件夹下。 二、车牌识别 1.先打开一幅图片，然后在车牌定位与识别菜单下依次点击：车牌提取、倾斜校正、字符分割、字符识别。 2.测试图像存储在img文件夹下。
voronoi1
- 基于图像的最近邻计算。算法实现，对于任一线状元素，将与其相邻像素颜色值赋值为距离其最近线状元素所属像素值-Nearest neighbor calculation based on image. The algorithm is implemented, for any linear element, the color value of its adjacent pixels is assigned to the pixel value of the nearest linear elemen
Kinect3DColor-20130719
- Kinect+Opencv2.4.5录视频-video capturing with Kinect and Opencv2.4.5
VCbmp
- vc++图像处理程序（杨淑莹）配套光盘，几乎包括所有基本的图形处理方法（bmp）（图像显示，灰度变换，几何变换，平滑，锐化，滤波，合成，压缩）-Some basic image processing functions（ image display, gray level transformation, geometric transformation, smoothing, sharpening, filtering, synthesis, compression。
image-pyramid
- 能够有效地对图像进行图像金字塔变换，即进行图像的缩放，代码能够稳定运行。-To effectively transform the image of the Pyramid image, that is, image scaling, the code can run steadily.
Real-Time-CT
- K. Zhang, L. Zhang, and M.H. Yang, “Real-time Compressive Tracking,” In ECCV 2012.源代码，效果非常好，供大家参考。-“Real-time Compressive Tracking,”
vlfeat-0.9.9
- 基于sift算法的图像匹配。并用RANSEC算法去除错误匹配。最后还给出了sift算法的图像拼接。-Sift-based image matching algorithm. And use RANSEC algorithm to remove false matches. Finally, given the sift algorithm for image stitching.