super_resolusion-pocs

对于存在块效应图像进行质量评价 matlab程序 比较适合初学者(For the existence of blocking matlab image quality evaluation procedures are more suitable for beginners)

说明：  根据一幅杂草和作物混合的图像可以识别出图像中的杂草(Weeds in the image can be identified according to a mixed image of weeds and crops)

基于分层的HOG的行人检测，具有很高的研究价值。(HOG based pedestrian detection layered with high research value.)

这是一种简单的互相关图像匹配算法，已经在matlab环境下测试过，效果很好。附带两张匹配图片(This is a simple cross-correlation image matching algorithm has been tested in the matlab environment, the effect is very good. With two matching pictures)

仿射投影符号算法是仿射投影算法和符号算法的组合算法，具有良好的抗冲击噪声的能力。(Affine projection algorithm is a combination algorithm symbol affine projection algorithms and symbolic algorithms, have good impact noise capabilities.)

用kinect获取3D图像，并从3D图像中用OpenCV方法从深度图中获取梯度边缘，从而得到更多信息，做后续处理(Get with kinect 3D images, and get the edge gradient from the depth map from a 3D image using OpenCV method to obtain more information, do follow-up treatment)

说明：  Vibe 运动目标检测 基于matlab(Vbie Moving Target Detection)(Vibe moving target detection based on MATLAB (vbie moving target detection))

基于边缘检测的迭代分水岭分割算法源码(内附图片等)(Image Segmentation Using Iterative Watersheding Plus Ridge Detection)

cashift_matlab,我做的一些修改： 1.修改了之前网上的那种需要输入avi文件名再读取的方式，改成直接读取avi文件。 2.修改了另外建立avi文件的方式。 2.实时显示跟踪结果。 3.彩色图显示，用红色框圈出目标。 4.因为是基于颜色特征的，所以要选色颜色特征明显的。你可以自己拍摄目标颜色突出的avi视频来测试。 5.程序结束时有点小问题，按ctrl+c结束。(cashift_matlab, I made some changes: 1. Modify the kind of network before you need to enter the avi file name and then read the way to read avi file directly. 2. Modify the other way to create avi file. 2. Real-time display tracking results. 3. The color map shows the target with a red box. 4. Because it is based on the color characteristics, so to choose the color characteristics of the obvious. You can test your own avi video with a prominent target color. 5. A little problem at the end of the program, press ctrl + c to end.)

四个IMAGE窗口，分别对图像进行读取，最大值滤波，最小值滤波及中值滤波。(Four IMAGE window, read the image, respectively, maximum filter, the minimum filter and median filter.)