资源列表
LearningOpenCV_Code
- 学习open CV Visual C++ 数字图像处理-Learning the open CV Visual C++ digital image processing
OpenCv-machine-learning-document
- 介绍了在opencv里机器学习方法的实现，比较好的中文文档说明介绍，机器学习可以应用于图像处理中-In opencv machine learning methods to achieve better Chinese document explains the introduction of machine learning can be applied to image processing
video2image
- 将图像视频转换成一帧一帧的图片，并规则命名保存在指定的文件夹中，简单实用-The image video conversion into a one picture, and name the rule is saved in the specified folder, simple and practical
facedect
- 图像处理中人脸检测代码，并有主函数调用程序，采用Haar特征检测人脸。-Image processing human face detection code, and the main function of the calling program, Haar feature detection face.
onling_tracker
- 采用在线学习跟踪方式，对物体进行跟踪，代码用c++编写，库用的Opencv库，程序中包括了3个.h，3个.cpp，一个.main程序。-We have added two new state-of-the-art object tracking algorithms to OpenCV which can robustly track images patches across a video sequence and learn online (i.e., on-the-fly) as the
Opencv-ref-man-2.3.1
- opencv 2.3 英文详解 比较新 目录如下 Introduction 1 1.1 API Concepts 12 core. The Core Functionality 7 2.1 Basic Structures .7 2.2 Basic C Structures and Operations 45 2.3 Dynamic Structures 77 2.4 Operations on Arrays104 2.5 Drawing Functions
backProject
- 改进反向投影图像，可以增强Camshift对颜色干扰的鲁棒性-Improved back projection image,and increase the Camshift robustness to color interference
Extraction-of-video-frames
- 提取视频帧，并隔任意帧保存一帧。将提取的帧保存为图片，图片名称为帧号加自定义名称。可将提取的视频帧重新生成一个新的视频。-Extraction of video frames, andsave frame every arbitrary frame。
Pattern-recognition
- 可以实现视频的播放，暂停，结束。程序是基于opencv的vc++程序。-Can achieve video playback, pause, end. Program is to Based on the opencv' s vc++ program.
biaoding
- OpenCV对摄像机标定的代码，部分学校课程设计实验会用到-OpenCV camera calibration code, part of the school curriculum design experiments will be used
detect
- 视频中检测运动目标的OpenCV代码，需要首先配置好OpenCV-Video detected moving target OpenCV code, you need to first configure OpenCV
background
- 基于opencv和VC++的目标识别代码，帧差法和背景差法同时运用-While the use of target identification code based on opencv and VC++ of the frame difference method and background subtraction