luwusheng

对变化的视频序列进行对象追踪,检测边缘图象,对感兴趣的图象进行颜色约束.(Video sequences on the object change tracking, edge detection image, the color of images of interest bound)

fluent软件UDF，焊接高斯移动热源。(weld heat source)

polsarpro官方学习教程，系统的说明了polsarpro软件的操作使用，可进行树高反演，地物分类，已经森林模拟数据生成(polsarpro tutorial note)

mean shift matlab源码，程序比较简单(mean shift matlab source code, the program is relatively simple)

这是文章Nonlocally Centralized Sparse Representation for SR的代码(this is the code of Nonlocally Centralized Sparse Representation for SR)

此代码为运用brovery进行像素层的融合，主要用于图像处理中的图像融合(This code is applied brovery the pixel level fusion, mainly for image processing of image fusion)

说明：  该代码的主要功能是图像边缘检测，利用霍夫变换确定圆的位置，并进行缺陷定位着色等操作(The main function of the code is image edge detection, using HOF transform to determine the location of the circle, and the location of defects such as coloring operations)

红外与可见光实时融合算法 ------------------------------------ 若不能读取xvid视频，请安装XviD-1.1.3-28062007.exe。 ----------------------------------- 请双击*.bat文件看程序运行结果。 也可以在命令行下，输入“evs3 参数文件.xml 配准.xml”，以融合指定的多源视频图像。 ---------------------------------- 首先，离线地时空配准多源视频，并保存结果到xml文件。然后融合配准后的图像。融合过程是，通过分解图像为Laplacian金字塔，分别对图像的高频和低频按照规则合并，最后将Laplacian金字塔重新组合为图像。(Real time fusion algorithm for infrared and visible light------------------------------------If you cannot read XviD video, please install XviD-1.1.3-28062007.exe.-----------------------------------Double-click the*.bat file to see the program running results.Can also be in the command line, " evs3 input parameter file .Xml .Xml registration ", by the fusion of the specified source video image.----------------------------------First of all, offline space-time registration source video, and save the results to a XML file. After registration and fusion image. Through the decomposition of the image fusion process, Laplacian Pyramid, were on the high-frequency and low frequency image in accordance with the rules of the merger, Laplacian Pyramid reassembled for image.)

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

Image, Edge Detection, Code