搜索资源列表
camlab
- 通过摄像头进行数字图像处理。演示了如何从视频流中提取帧的信息。里面的类可以单独使用。用于机器人的控制A demonstration of how to abstract one frame from a stream vedio. The class can be used alone.-through the camera for digital image processing. Demonstration of how to extract video frame information.
vedio
- 应用vfw技术在C++Builder环境下捕捉视频，为接下来的视频图像保存，处理做准备工作。-Vfw applications in C++ Builder environment to capture video, the video image to the next save, ready to do deal with job
GML
- it helps to those who are doing project in digital image or vedio watermarking and also to those who are doing in image processing
OPenCV_vedio_Process
- OPenCV 视频处理和摄像头捕捉,初步理解OPenCV+c++的应用-OPenCV image process vedio
vedio
- 图像识别程序，打包可运行。。可以识别光点，抗环境强-Image recognition process, package to run. . Can identify points of light, strongly anti-environment
Realtime_vedio_monitering_system.tar
- it s a file to mini2440 board .. this is a real time vedio monitering systeam. this file can save image from camera and save on mini2440..... try to best.... best of luck-it s a file to mini2440 board .. this is a real time vedio
Vedio(-)Image
- 本程序主要用于视频和图片之间的相互转换，在图像处理领域这一小小的程序很用用处可以用于获取特定的图片，或者将某些图片合成符合条件的视频，以供使用之用。-This procedure is used to convert between video and pictures, this small program in the field of image processing is very useful can be used to obtain a specific picture or so
vedio-analysis
- 视频分析，视频图像分析，视频中背景消除，视频内容分析，通过一些技术实现视频分析。里面有视频范例。-Video analysis, video image analysis of the video in the background to eliminate video content analysis and video analysis through technology. There are video example.
vedio
- 基于开源的图像处理库opencv，打开电脑摄像头，并读取摄像头数据将它显示在窗口中，同时进行边缘检测-Based on open source image processing library opencv, open the computer camera, and read the camera data to display it in the window, and edge detection
imgtovedio
- opencv+vs2010 视频帧序列转化为视频并显示-realize the convertion of image to vedio
vedio
- 目标检测与识别 1. 颜色检测 采集大量敌方机器人的图片数据，并进行训练，得到对方机器人的颜色区间， 并以此为阈值对整幅图像进行颜色检测，找到疑似敌方机器人的区域，量化 成二值图。 2. 滤除噪声点 对得到的二值图像进行开运算处理，滤除颜色检测结果中的噪声点。 3. 连通区域检测 对图像中的疑似区域进行连通区域检测，计算出每个疑似区域的外部轮廓， 用矩形近似表示。 4. 连通区域合并 根据连通区域之间的距离和颜色相似性，将距离接近且相似性高的连通区域