camshift

基于HOG的行人检测，作者的源代码有错误，现代码已经进行了改变，并可以调试通(Histograms of Oriented Gradients for Human Detection, the writer s code has some errors, and I have correct the errors, and the code is right under C++ buidler)

sift 的c++代码。。。。。。。。。。。。(sift c++ code)

中值滤波，取出奇数个数据进行排序，用排序后的中值取代要处理的数据即可(median filtering.rar)

在图像中加入椒盐噪声的源代码，编译后的可执行文件须带参数运行(the image Salt and Pepper to the noise source, the compiled executable file parameters required to bring Operation)

摘　要:舌象中的裂纹是中医舌诊中的重要内容。由于拍摄条件的不同,舌象质量有较大差异,传统的阈值选取方法并不 适用。文中提出一种舌象裂纹检测的自适应阈值选择方法。该方法利用舌象的L 3 a 3 b 色彩特征及区域的分裂- 合并, 对舌象进行区域分割,自适应地选取舌中部区域的色彩值作为阈值,对整个舌象进行裂纹提取。经验证,本方案对不同的 舌象能较好地提取出裂纹,实现舌象裂纹诊断的客观化。(Tongue’ s crack is a very important part of herbalist doctor diagnosis. For the different screen conditions , there are many differ2 ences on the tongue’ s quality. It is not effective to use the t raditional threshold ext raction algorithm. In order to solve this problem , pro2 pose a new adaptive threshold algorithm. Present the segmentation of the image of tongue by using the feature on tongue in the L 3 a 3 b color space and the split- combining algorithm. Then use the threshold , which is the color value ext racted automatically in the middle of the tongue , to detect the crack of the whole tongue. The experiments show that this approach is able to distill the crack effectively to different tongue images , and achieve the objectivity of the diagnosis based on the tongue’ s crack.)

HOG adaboost pedestrian-detect

自适应模板更新的粒子滤波实时跟踪算法_赖作镁.zip(Adaptive template updating particle filter for real-time tracking algorithm _ Ryan magnesium. Zip)

对视频进行基本的处理，例如载入视频，显示视频，控制播放(Basic video processing, such as loading the video, show video, control playback)

中国科学院长春光学精密机械与物理研究所 基于外极线约束条件的视频判读方法(Changchun Institute of Optics, Fine Mechanics and Physics epipolar constraint based on the video interpretation method)

能比较全面的图像处理系统。主要内容包括：位图基础、图像的显示、图像的几何变换、图像灰度变换、图像的平滑处理、图像锐化处理及边缘检测、图像分割及测量、图像的形态学处理、图像的变换域处理及应用、图像的合成、24位彩色图像的处理、JPEG图像的压缩编码(can more comprehensive image processing system. Main contents include : bitmap based, image display, image geometry transformation, gray transform, image smoothing, image sharpening and edge detection, image segmentation and measurement, image morphology, Image Transform and application processing, image synthesis, 24-bit color image processing, JPEG image compression coding)