total8bian

使用radon变换来实现对图像中直线的检测，显示检测结果(Use radon detection of image transformation to achieve straight line, showing the test results)

数字图像处理实验——直方图的均衡化，打开图像并实现其均衡化(Digital image processing experiments- histogram equalization, open the image and realize its equalization)

Localization of inner and outer boundary of iris(Localization of inner and outer boundary of iris,)

图像变换检测 主成分分析法 含PDF介绍(iamge change detection using PCA)

说明：  图像特征提取的Contourlet变换工具包，可以设置分解层次，例如，三层分解提取17维特征，用于纹理图像或者SAR图像分割应用中(Image feature extraction toolbox of Contourlet transform, you can set the level of decomposition, for example, three level with 17-dimensional, for the segmentation on texture image or SAR Image)

水平集图像分割代码，对应论文为Li C, Xu C, Gui C, et al. Level set evolution without re-initialization: a new variational formulation[C]//Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on. IEEE, 2005, 1: 430-436.(Level set image segmentation code, the corresponding papers of Li C, Xu C, Gui C, et al Level set evolution without re-initialization:.. A new variational formulation [C]// Computer Vision and Pattern Recognition, 2005 CVPR 2005 IEEE. Computer Society Conference on IEEE, 2005, 1:. 430-436.)

实现帧差法求背景的matlab程序和示例图片(Frame-difference method to achieve the background image matlab procedures and sample)

首先生成如下形式的图片：图中的白条为7象素宽，210象素高，白条间的宽度为17象素。 应用多种滤波器进行处理：算术均值，几何均值，谐波均值，逆谐波均值，中值滤波，中点滤波，最大值、最小值滤波等。注意，需改变模板大小。详细比较上述的结果，并分析原因。 (First generation following form images: figure IOUs 7 pixels wide, 210 pixels high, the width is 17 pixels between IOUs. Using a variety of filters for processing: the arithmetic mean, geometric mean, harmonic mean, inverse harmonic mean, median filtering, filtering midpoint, maximum, minimum filtering. Note that the need to change the template size. A detailed comparison of these results and analyze the reasons.)

本人搜集的沙威老师关于CS所有的资料，包括代码，论文，评论等等，希望对大家有用。(Javert I have collected all of the teachers on the CS data, including code, papers, comments, etc., want to be useful.)

目标跟踪，使用基于颜色特征的粒子滤波跟踪算法。使用方便，较精确的实现目标跟踪功能(Target tracking using particle filter based on color feature tracking algorithm. Easy to use, more accurate tracking goals)