capon

此程序是我进行视频处理时入门的程序，包含视频检测和轮廓跟踪，希望对大家有用(This program is my entry for video processing procedures, including video detection and contour tracing, hope for all of us)

在基于的图像分割方法中，CV模型是一个非常重要模型。这是其实现ＭＡＴＬＡＢ源代码。(Based image segmentation method, CV model is a very important model. This is the MATLAB source code for its implementation.)

这是一段视频分割的源代码 效果比较好 希望对大家有帮助(This is a video segmentation of the source code for the effect we hope to help)

给予matlab的图像分割例程，内附相关图片及程序。(Image segmentation routine MATLAB, containing the relevant pictures and program. )

在进行图像显著性分析时，要通过PR曲线进行比较不同方法的好坏，这个源码可以实现此功能。(Significantly during image analysis, through PR curves comparing different methods is good or bad, this source can achieve this functionality.)

实现人脸识别功能，GUI界面，其中有测试人脸集，识别率95以上(To achieve face recognition function, GUI interface)

混合高斯(Mixture of Gaussian, MOG) 背景建模算法和Codebook 背景建模算法被广泛应用于监控视频的运动目标检测问题, 但混合高斯的球体模型通常假设RGB 三个分量是独立的, Codebook 的圆柱体模型假设背景像素值在圆柱体内均匀分布且背景亮度值变化方向指向坐标原点, 这些假设使得模型对背景的描述能力下降. 本文提出了一种椭球体背景模型, 该模型克服了混合高斯球体模型和Codebook 圆柱体模型假设的局限性, 同时利用主成分分析(Principal components analysis, PCA) 方法来刻画椭球体背景模型, 提出了一种基于主成分分析的Codebook 背景建模算法. 实验表明, 本文算法不仅能够更准确地描述背景像素值在RGB 空间中的分布特征, 而且具有良好的鲁棒性.(The background modeling algorithm of mixture of Gaussian (MOG) and codebook is widely used in moving object detection of surveillance video. However, the ball model of MOG usually assumes that the three components of RGB are independent, while the cylinder model of codebook assumes that the value of background pixel is distributed uniformly within the cylinder and the changing direction of brightness points to the origin of the coordinate system. These assumptions reduce the descriptive capability for background modeling. Therefore, the paper proposes an ellipsoid- based background model, which overcomes the MOG and codebook0s limitations. By using principal component analysis to depict the ellipsoid background model, a novel PCA-based codebook background modeling algorithm is proposed. Experiments show that this algorithm can not only give more accurate description of the distribution of background pixels but also have a better robustness.)

读入人脸图像，根据图像的水平，垂直灰度积分情况，将人眼范围取出，背景可以较复杂。(Reading into the human face image, according to the image of horizontal, vertical gray points, which will remove the scope of the human eye, the background can be more complicated.)

读取与显示JPG等格式图像文件，Visual C++编程技巧精选，很好的参考资料。(Read and display JPG format image files, Visual C++ programming skills selected, a good reference.)

SAR图像分类程序，基于灰度阈值的分类，无监督学习的分类简单。(SAR Image classification)