CS_OMP

document about computer vision - image processing

将一幅M×N的灰度图像用3×3平均滤波器进行模糊，分别再加上一定的高斯 噪声和均匀噪声。然后，设计一个维纳滤波器对这两幅图像进行复原，分别 计算这两幅图像复原前后的PSNR。(Gray-scale image of a MN 33 average filter is vague, respectively, plus a Gaussian noise and uniform noise. Then, design a Wiener filter to recover these two images, the two images before and after the recovery of PSNR were calculated.)

基于sift算法的图像拼接matlab代码，经过测试，可以运行，对有重叠部分的图像进行拼接，效果不错(Sift algorithm based on the image mosaic matlab code, the test run splicing with overlapping portion of the image, good results)

数字图像处理中的散度特征空间中的无监督的图像纹理分割(Digital image processing in the feature space of divergence Unsupervised texture segmentation of images)

用matlab软件编写的图像配准代码，用于图像配准或图像处理(matlab edge detect-matlab edge detect)

基于sift特征点的图像复制粘贴篡改被动认证(sift feature points copy-move forgery detction)

换热器模型的MATLAB实现,可用于工程计算,还可以用于教学演示(Heat exchanger model of MATLAB and can be used for engineering calculation, and can also be used for teaching demonstration)

分为行人检测，特征提取，行人跟踪三步，其中最主要的代码也是这个代码的中心是行人跟踪这一部分，我采用的是kalman滤波器进行行人下一帧位置的预测，可以很好的提高行人跟踪的鲁棒性，跟踪结果比较准确。(Into pedestrian detection, feature extraction, pedestrian tracking steps, which is the center of the main code of the code is pedestrian tracking this section, I kalman filter is used to predict the position of the next frame pedestrians, can be a good improvement pedestrian tracking robustness, tracking results more accurate.)

自己编写的函数，自动寻找乳腺肿块区域的种子点，为种子区域生长做准备，算法比较复杂(breast boundary.seed region growth)

经典复合式指纹细化算法源码，算法步骤为先用快速并行算法遍历，后用OPTA算法遍历，附有注释。(Classic composite fingerprint thinning algorithm source code, for the first step of the algorithm with fast parallel algorithm traversal traversal algorithm after using OPTA, annotated.)