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说明：  这个源程序的主要功能是实现图像基于拉普拉斯金字塔的图像融合(The primary function of the source image is Laplacian pyramid-based image fusion)

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

利用多尺度高斯函数去除场景的光照分量；然后构造了一种二维伽马函数，利用光照分量的分布特性调整二维伽马函数的参数，降低光照过强区域的亮度值，提高光照过暗区域的亮度值，最终实现对光照不均匀图像的自适应校正处理。(The multi scale Gauss function is used to remove the illumination component of the scene, and then a two-dimensional gamma function is constructed. The parameters of the two-dimensional gamma function are adjusted by the distribution characteristics of the illumination component, the brightness value of the light illuminated region is reduced and the brightness value of the light dark area is improved. Finally, the adaptive correction of the uneven illumination image is realized. Positive treatment.)

说明：  基于自适应α-β滤波器的接收机跟踪环多普勒自补偿算法(Based on adaptive alpha beta filter satellite receiver loop of the doppler compensation algorithm design)

POCS算法 基本算法 肯定能用经过多次试验保证质量希望能够帮助大家 大家加油(POCS algorithm is sure to be able to use a number of tests to ensure that the quality of the hope can help everyone to refuel)

学习使用OpenCV，对输入的一段彩色视频，用OpenCV实现以下功能或要求: 1. 对输入视频的每一帧图像都用同一个阈值进行二值化； 2.在每帧二值化图像上叠加上含自己学号与姓名等信息的版权字幕； 3. 在处理的过程中，实时显示每帧图片处理之后的效果； 4.将所有这些二值化图像按视频原来顺序合成输出一个视频文件，按原输入视频播放速度的两倍合成； 5. 做成如下的命令行格式，xxx.exe 输入视频文件名 二值化阈值 输出视频文件名（例如 MyBiVideo.exe input.avi 50 output.avi ） 这里的二值化有两种选择，可以手动收入阈值，也可以直接用OTSU算法的较优阈值直接二值化。(Learn to use OpenCV, for some color video input, with the OpenCV following functions or requirements: 1. Each frame of the input video images are binarized using the same threshold value 2. superposed on the binarized image of each frame containing the copyright on the number and the name of their own learning subtitles other information 3. During processing, real-time display after processing each frame 4. All of these binarized image by synthesizing the video output of a video sequence of the original document, the original input composite video playback speed twice 5. made the following command line format, xxx.exe input video file name binary threshold value of the output video file name (eg MyBiVideo.exe input.avi 50 output.avi) Here there are two binary choice, you can manually income thresholds, you can directly use the optimum direct binarization threshold through OTSU algorithm.)

这是对图像进行分块的代码，分块后提取LBP特征，站中有LBP代码，可以直接调用这个代码进行分块LBP特征提取(This is to block of code of image, block LBP feature extracting, after standing in LBP code, you can directly invoke the code block LBP feature extraction)

说明：  基于sift特征提取的图像配准的几个案例(Several cases of image registration based on SIFT feature extraction)

采用超像素进行分割图像，利用到了超像素和Ncut的方法，采用了c与maltab混合编程。(Code to compute superpixels. use cncut and superpixel code for segmentation. Mex program c and matlab)

显著图计算算法FT, SR, LC, HC, RC，以及saliency cut 的合集。(an windows msi for install saliency detection software, which includes the implementation for FT, SR, LC, our HC, RC and saliency cut method.)