搜索资源列表
OpenNIandOpenCV
- OpenCV+OpenNI测试kinect显示RGB和Depth图像-OpenCV and OpenNI test kinect～
based-on-opencv-gesture-recogniton
- 手势识别源代码 实时采集图像并识别手势，主要通过判断手指数目来确定手势-hand gesture
OpenCV-
- OPENCV,使用多种方法实现图像的显示，保存等基本功能。-OPENCV, using a variety of methods for image display, preservation and other basic functions.
opencv-temp
- opencv 实现模板匹配，方法对图像、视频都可用，简单、易懂！-Opencv achieve template matching procedures, simple, easy to use, can realize the matching of image, video in!
OPENCV--basic-code
- opencv基础代码 包含图像处理 适合初学者-opencv code contains basic image processing
txpj-opencv
- 图像拼接，sift算法的c算法，基于opencv的，一个大牛写得，很厉害的。-Image mosaic algorithm, C SIFT algorithm, based on OpenCV, a bull is written, very powerful.
opencv-imageRegegenize
- opencv图像的自动识别，包括图像的处理，采集，最后识别。-opencv image automatic identification, including image processing, collection, and finally recognized.
opencv
- opencv基础教程里的示例,包括opencv图像显示等基本的代码，还有部分相对较难的-opencv
MFCvideo
- Basler相机采集图像，VS2012 MFC实时显示摄像头采集图像，对采集图像opencv处理并显示-MFC VS2012 Basler-camera opencv
opencv
- 此程序适用于图像跟踪范畴，Opencv视频帧处理，将图片处理成每一帧，方便后续跟踪处理。-This procedure applies to the image tracking category, Opencv video frame processing, the image processing to each frame to facilitate follow-up treatment.
图像分块处理1
- 通过opencv将图片分割为256*256像素大小的图片，可对图片再进行后续处理。
OPENCV---VB6
- vb6 版本的OPEN CV 图像识别例子 -vb6 version of the OPEN CV example image recognition
Cut_image
- Opencv将一张图像分割为多个区域，这样便于更快速的处理图像-Opencv divides an image into multiple areas, making it easier to process images more quickly
ConsoleApplication2
- 将原始图像的像素坐标进行变换成桶状投影，改变图像外形，不改变图像其他属性(The pixel coordinates of the original image is transformed into a barrel shaped projection)
角度识别-OPENCV
- vc++ 及OpenCV实现图像中原件的角度识别(Vc++ and OpenCV to achieve the image of the original angle recognition)
Opencv_test_4
- 利用opencv函数写入视频，将多幅图像合成一个视频并播放。(Use opencv function to write video, multiple images will be synthesized a video and play.)
ConsoleApplication1
- 使用c++调用opencv对图像进行加杂讯处理，在visual studio中实现(Call OpenCV to add noise to the image processing)
光流法运动估计OpticalFlow
- 利用openCV，首先得到图像中的强边界作为跟踪的特征点，调用函数，输入两幅连续的图像，并在第一幅图像里选择一组特征点，输出为这组点在下一幅图像中的位置。再把结果过滤，去掉不好的特征点。把特征点的跟踪路径标示出来。(Using openCV, we use goodFeaturesToTrack function to get strong edges in the image as the feature point tracking, next to call calcOpticalFlow
easycentroidpoint
- 提取二值图像的轮廓，根据hu矩求轮廓质心点(Extract the contour of the two value image, and calculate the contour centroid point according to the Hu moment)
regiongrow
- 区域增长算法核心，可以根据图像所在区域 找到同一区域的像素(Kernel of region growth algorithm)