资源列表
duomubiaotrace
- 应该自动标记目标的多目标跟踪软件，实用性好-good good
GuassianBackground
- 功能是用混合高斯模型实现视频图像的背景建模！vs2010和opencv实现！-Function is Gaussian mixture model, background modeling video images! vs2010 and opencv realize!
cvCapture
- 功能是用opencv相关函数实现对摄像头的操作，环境是vs2010和opencv2.3.1-Function is to achieve operation of the camera using opencv correlation function, the environment is vs2010 and opencv2.3.1
Zhangzy_CalExpara
- 对张正友相机标定算法进行程序编写及功能实现啊-Zhang Zhengyou camera calibration algorithms for programming and functions to achieve
edge--detection
- 用opencv实现的边缘检测功能，根据学习opencv一书中的伪码补充和完整后的代码，可以运行-Edge detection with opencv function, according to the pseudo-code complement and complete code after learning opencv book, you can run
MyOpencvGetCenter
- 用opencv编写的获取图像中心程序，利用质心法获得图像的中心，细化-Center program to obtain images with opencv prepared
hw2
- 轮廓提取，可用于椭圆，阀值可调，VS2012下开发-Contour extraction, can be used to oval, threshold adjustable, VS2012 under development
faceLBP
- 包含一个性别分类的cpp文件，和已经训练好的gender.yml模型，最后计算出样本分类准确率。建议使用AR人脸数据库。使用格式为genderLBP 训练样本.txt 测试样本.txt。因为不用训练模型了，测试样本随便写个行了。测试样本的格式是：路径 1或者0。1表示男性，0表示女性。-Cpp file contains a gender classification, and has trained gender.yml model, and finally calculate the sam
opencv
- word详细介绍了Windows位图（Bitmap）和调色板（Palette）、图象的几何变换、图象的平滑（去噪声），sourse里有对应的代码-word detailing the Windows bitmap (Bitmap) and Palette (Palette), geometric transformations, image smoothing the image (to noise), sourse there is a corresponding code
opencv_image
- 锐化、图象的半影调和抖动技术、直方图修正和彩色变换、腐蚀，膨胀，细化算法、边沿检测与提取，轮廓跟踪-Sharpening, image penumbra reconcile jitter histogram correction and color conversion, corrosion, expansion, refinement algorithm, edge detection and extraction, contour tracking
image-processing
- 包括图象的检测，模板匹配、图象的压缩编码，JPEG压缩编码标准、图象处理编程工具的介绍，简单的多媒体编程-Including image compression encoding detection, template matching, image, JPEG compression coding standard, the introduction of image processing programming tools, simple multimedia programming
find_-contours
- 可以采用形态学方法找出边界，比较有益的初学者的学习方法。-It s very good for a newer to learning about image processing.