搜索资源列表
OPENSIFT_vs2012
- OPENSIFT、OPENCV2.4.9、GTK+2.2.4在VS2012上搭建，实现两幅图像sift算法配准-OPENSIFT, OPENCV2.4.9, GTK+ 2.2.4 built on VS2012, sift algorithm realization of two image registration
fingerprint_20121224
- 指纹图像增强算法，基于Opencv2.4.9，对普通光学相机拍摄的指纹图像去除背景、噪声，提取指纹纹理。-Fingerprint image enhancement algorithm based Opencv2.4.9, fingerprint images of ordinary optical camera to remove background noise and extract the fingerprint texture.
open_cam
- vs2010+opencv2.4.9打开摄像头，并显示灰度图像，以及边缘处理得到的图像-vs2010+opencv2.4.9 open the camera and display grayscale images, and image edge processing resulting ............
3d-reconstructuon
- opencv2.4.9中关于三维重建的samples-the samples concerning 3d reconstruction in the opencv 2.4.9
opencv2.4.9-cpp_samples
- opencv2.4.9中C++的样例源码-the source c++ code in opencv2.4.9
opencv2.4.9-c_samples
- opencv2.4.9中C源语言的样例源码-the source c code in opencv2.4.9
tutorial-4-cuda
- opencv2.4.9中关于cuda的样例安卓源码-the source andriod code about cuda in the opencv2.4.9
opencv2.4.9-GPU
- opencv2.4.9中关于GPU的样例源码-the source code about GPU in the opencv2.4.9
Avi2Img
- 视频AVI中提取出每帧图像，并保存 VS2012 Opencv2.4.9 其它版本也可以-AVI video image of each frame is extracted and saved VS2012 Opencv2.4.9 Other versions may also be
CameraFaceDetection
- 读摄像头并框出人脸的程序，工程为VS2013+OpenCV2.4.9，背景单一时识别较好。-Read camera and box application, make a face engineering VS2013+ OpenCV2.4.9, background when single recognition is better.
Histogram1
- Salient区域检测，简单算法LC，学习博客（http://blog.csdn.net/laviewpbt/article/details/38357017）。图像直方图。RGB三通道颜色缩减。需要先配置opencv环境，vs2010,opencv2.4.9。配置教程(http://wiki.opencv.org.cn/index.php/VC_2010 E4 B8 8B E5 AE 89 E8 A3 85OpenCV2.4.4)-Salient detection
image-and--video
- 基于opencv2.4.9和vs2010视频图像基本处理,包括视频和图像间的互换，读入视频和写入视频-Opencv2.4.9 and vs2010 video image based on the basic processing, including interchange between video and images, read and write video video
OpenCvTest
- 用Opencv2.4.9和VC2013写的Opencv入门图像处理程序，主要是读取彩色图像、转化为灰度图像、用Canny算子进行边缘检测、显示各种图像等，是比较好的Opencv入门简单程序。-Written by Opencv2.4.9 and VC2013 Opencv entry image processing program, mainly to read the color image is converted to grayscale images, using Canny edge
MOG2_OPENCV2.4.9
- 经典背景减除方法，MOG2(或GMM)，从opencv2.4.9中单独提取出来的，经过实验调试通过的，可同其他背景减除方法结合或对比。-It is a typical background subtraction mathod, which is OpenCV 2.4.9. It was proposed by Zivkovic in 2014ICPR and proved effective.
MFC--Picture-control-OpenCV-2.4.9
- 本实例使用vs2013 中的 vc++结合opencv2.4.9进行图片显示。图片显示在picture contrrl，然后进行图片边缘提取-This example uses the vc++ vs2013 opencv2.4.9 be combined picture is displayed. Picture appears in the picture contrrl, then image edge extraction
opencv2.4.9Pvs2010-matchTemplate
- opencv2.4.9+vs2010 实现图像匹配，从原图中识别其中的某一部分 配好opencv可以直接运行。-opencv2.4.9+ vs2010 achieve image matching, which identified certain part with a good opencv can be run directly the original image.
opencv2.4.9-PVS2010-face
- opencv2.4.9+vs2010 实现人脸定位，定位轮廓可以为圆形也可以为方形 配好opencv可以直接运行。-opencv2.4.9+ vs2010 realization of human face location, location profile can be circular square with a good opencv can be run directly.
opencv2.4.9Pvs2010-lunkuo
- opencv2.4.9+vs2010 轮廓提取 配好opencv可以直接运行。-opencv2.4.9+ vs2010 configure opencv contour extraction can be run directly.
数字识别4整理
- 该程序是基于opencv的 可以识别记事本的数字并输出识别结果 在opencv2.4.9，vs2013下能够运行(The program is a opencv - based number that can identify notepad and output recognition results that can run under opencv2.4.9, vs2013)
opencv Reference Manual_2.4.9
- OpenCV2.4.9版本的使用说明，里面包含了各种函数的定义、声明和使用。英文版，但内容比较容易理解。(The use of OpenCV2.4.9 version contains all kinds of functions definition, declaration and use. English version, but the content is easier to understand.)