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cvWatershed 基于C++语言的分水岭算法
- 本程序是基于C++语言的分水岭算法，其中调用了opencv的函数库。-This procedure is based on C++ language, watershed algorithm, which is called the opencv library of functions.
OpenCV-code 基于C/C++语言的开源图像处理函数库
- OpenCV是一个基于C/C++语言的开源图像处理函数库,其代码都经过优化，可用于实时处理图像,具有良好的可移植性,可以进行图像/视频载入、保存和采集的常规操作.-OpenCV is based on C/C++ language, open source image processing library, the code have been optimized for real-time image processing, has good portability, can images/v
opencvReferenceManual(2.0-2.1)
- 这是opencv2.0和2.1的完整参考手册（英文），还提供了emgu.cv2.0的部分使用手册，可以弥补opencv没有介绍的库函数。-This is a complete opencv2.0 and 2.1 Reference Manual (English), also provides emgu.cv2.0 part of the manual, you can not make up for opencv library functions described.
DFT
- vs下C++编程，使用openCV第三方库的C++接口函数编写而成的离散傅里叶变换。注意是新的C++接口而不是老的C接口。-Under the vs C++ programming, the use of openCV third party c++ library interface function to write a discrete Fourier transform. Pay attention to is the new C++ interface and not old C in
opencv_configuration
- opencv在vc6下的环境配置方法 OpenCV是Intel公司支持的开源计算机视觉库。它轻量级而且高效——由一系列 C 函数和少量 C++ 类构成-opencv in the vc6 environment configuration under the Intel Corporation to support OpenCV is open source computer vision library. It is lightweight and efficient- a series
OpenCVChineseManual
- opencv参考手册：OpenCV是Intel® 开源计算机视觉库。它由一系列 C 函数和少量 C++ 类构成，实现了图像处理和计算机视觉方面的很多通用算法。-Opencv reference manual is Intel® opencv: Open-source computer vision. It consists of a series of C++ classes and a small amount of function, the image processing
OpenCV_china
- OpenCV是Intel公司支持的开源计算机视觉库。它轻量级而且高效——由一系列 C 函数和少量 C++ 类构成，实现了图像处理和计算机视觉方面的很多通用算法-OpenCV is an open source company supports Intel computer vision library. It is lightweight and efficient- by a series of C functions and a small amount of C++ class struc
OpenCV
- 摄影测量学发展而来的直接线性变换(DLT)方法和扩展的直接线性变换方法，有基于径向排列约束(RAC) 的两步法(Tsai方法)，有基于不同位置平面模板的张正友法(Zhang)，也有基于摄像机本身移动无需外部标 定物的自标定方法。 OpenCV是Intel开源计算机视觉库，它由一系列c函数和少量C++类构成，具有强大的图像处理、图 像分析和图像理解功能，它的函数实现了很多经典的图像处理和计算机视觉方面的算法，是机器视觉研究 与开发的良好工具。-Photogrammetry de
opencv
- 用C语言编写的基于opencv库函数的打开一张图像的简单程序，适合初学者学习。-Written in C opencv library functions based on the image on a simple procedures, is suitable for beginners to learn.
color1
- 基于C语言图像颜色提取，调用的是openCV的库函数-C-based image color extraction
p2
- 基于VC中的C语言的图像边沿提取函数，使用的是openCV的库-Based on image edge extraction function of the VC in the C language, the use of the library of openCV
p3
- 基于VC中的C语言的图像提取角点函数，使用的是openCV的库-VC in the C language-based image extraction angle point function, using openCV
p4
- 基于VC中的C语言的图像提取直线函数，使用的是openCV的库-The image of the C language in the VC-based extraction of straight line function, the function of openCV
Patch_Sparsity
- 算法仿真：论文《Image Inpaiting by Patch Propagation Using Patch Sparsity》中提出的图像修复算法的； 1）使用了OpenCV2.2.0开源机器视觉库，IDE为VS2010 2）设置系统环境变量OPENCV_DIR为OpenCV的安装路径，如C：\OpenCV2.2；VS2010属性页文件依赖于此环境变量，在Path中添加C：\OpenCV2.2\bin，更具体的环境配置可以查看OpenCV相关手册设置属性页文件或Email:zhen
TuXiangChuLi
- 用OpenCV实现的人脸识别sift算法程序,主要是C语言写的，调用了一些OpenCV的函数库-OpenCV achieve recognition sift algorithm program is mainly written in C language, called some of the OpenCV library
read-load-And-show
- 使用C++和计算机视觉开源代码库OpenCv编写的图片读取函数，程序简单。-Open source code base OpenCv C++ and computer vision to write the function of reading picture, the program is simple.
camera
- 基于C++编写的本机摄像头调用程序，只需要设置好相应的库函数文件即可-Based C++ write native camera procedure call, only need to set up the appropriate file to library functions
MeanShift-Kalman-tracking-algorithm
- 结合kalman滤波的meanshift跟踪算法，meanshift算法是一种经典的均值漂移跟踪算法，采用颜色直方图作为跟踪特征，具有很高的稳定性和鲁棒性，kalman滤波是一种线性滤波预测算法。在meanshift算法中引入kalman滤波，可以提高算法的稳定性，同时提高算法执行效率。代码中除了avi格式视频读取采用opencv库函数外，核心算法均为纯C++实现，注释详细，很容易理解，同时具有很高的参考价值。 -Meanshift kalman filtering combined track
face-trace
- 利用C++,在VC6.0下利用OPenCV库函数进行人脸跟踪，运行结果良好，可直接使用。-Use C++, in VC6.0 OPenCV library functions use face tracking, good operating results can be used directly.
QtOpenCVWidgets
- 使用Qt c++库进行OpenCV开发时的一些库函数，并且有这些库函数使用说明和示例程序可以进行学习和研究。-Use Qt c++ library OpenCV library functions during development, and use of these library functions and example programs can learn and study.