exemplar-based-image-inpainting-master

说明：  基于非下采样contourlet变换的多视点视频图像融合的MATLAB源码，可以成功运行(Nonsubsampled based multi-view video contourlet Transform MATLAB source image fusion can be run successfully)

说明：  经典图像处理灰度图像去噪模型，以及改进模型效果不错(Classic image processing gray image denoising model, and improved model good results.)

用visual c++编写的飞机飞行模拟航迹，其中包括VC源代码和模拟飞行图。(Written with visual c++ simulation of aircraft flight tracks, including the VC source code and simulation of flight plans.)

一个基于Matlab/Simulink建模的算法:Trigger. Trigger使用移动平均和匹配滤波器对原始信号进行噪声处理和信号峰值提取，并验证原始信号的正确性。Trigger使用M-code实现，并且使用S-function封装到Simulink中。(An algorithm based on Matlab/Simulink modeling: Trigger. Trigger moving average and the matched filter noise processing and signal peak extraction of the original signal, and verify the correctness of the original signal. Trigger M-code implementation, and encapsulated in the Simulink S-function.)

压缩感知的OMP算法应用于图像压缩与恢复。(OMP compressed sensing image compression and restoration algorithms applied to)

PAL制视频消隔行deinterlace的代码，共参考(PAL video system extinction deinterlace interlaced code, a total of reference)

在matlab平台上实现对医学图像人脑部的分割采用c语言编写(In matlab platform to realize human brain medical image segmentation using c language)

说明：  本部分源码是处理静态图像时候，需要的一部分代码，希望对于那些正在研究图像处理技术的朋友有用。(This section is the source when dealing with a static image, the need for part of the code, I hope for those who are studying image processing technology useful friends.)

文件包含脑部CT图像分割的程序及所用图片(File contains the brain CT image segmentation procedures and images used in)

在本文件中，我主要研究通过行人的表观特征进行识别，例如颜色、纹理等等。用matlab GUI 编写了程序，对行人进行匹配 (Pedestrian recognition of the inter-camera is intelligent surveillance camera network a key research direction. Match the pedestrian different camera, you can cross the pedestrian track of the camera, the expansion of the monitoring horizon, at the same time can have a clearer grasp of the behavior of pedestrians in the entire surveillance area. Different cameras, different lighting conditions, the pedestrian position and a different scale, shelter, etc., making the pedestrian match challenging. In this document, I study to identify by pedestrian apparent characteristics such as color, texture, and so on.)