matlab_calib

利用数学形态学对云层背景下的目标进行检测识别，有两种方法。 (Using mathematical morphology of clouds in the context of target identification, there are two ways.)

利用fastICA算法实现了两幅图像的分离。内附源图像文件（两种）。同时还利用峰值信噪比PSNR和性能指标PI实现了对分离效果的评价。原创代码。(fastICA algorithm is uesd in seperating the mixed images.)

文献，基于融合和聚类的遥感图像变化检测技术(Literature, based on remote sensing image fusion and change detection clustering technology)

说明：  包含多个函数，可直接调用（需按注释输入参数），对ppm和pgm文件，读、写和多种图像处理。(Ppm and pgm file for reading and writing, and various image processing)

Python+OpenCV实现的行人检测(Pedestrian Detection of Python + OpenCV Implementation)

说明：  全变分去噪程序，用于图像去噪，该方法能克服图像去噪中的震荡效应，使图像更加光滑，并能保存边缘信息。(total variation denoisy)

利用MATLAB自带的两幅RGB彩色图像根据对图像互相关性的分析进行图像配准。(Using two RGB color images MATLAB, image registration is performed based on the analysis of image crosstalk.)

用halcon给实际采集的图像进行畸变矫正，然后可以再人为添加一定程度的畸变，以便于定量研究，可运行已调试，可作为学习参考(Halcon is used to correct the distortion of the image collected, and then the human can add some degree of distortion to facilitate quantitative research. It can be run and debugged, and can be used as a reference for study)

光流法实时实现的文献及代码，2012发表于cvpr，200*200的图像，每秒可达200帧，2012_CVPR_Lip-motion events analysis and lip segmentation using optical flow(Optical flow method to achieve real-time literature and code, 2012 published in cvpr, 200* 200 images per second, up to 200, 2012_CVPR_Lip-motion events analysis and lip segmentation using optical flow)

Visual Tracking via Locality Sensitive Histograms.基于局部敏感直方图的目标跟踪算法，该算法在CVPR2013中出现，算法较简单但却非常有效，值得各位研究视觉跟踪算法的同行研究(Visual Tracking via Locality Sensitive Histograms)