HazeRemoval

bgslibrary_x86_v1.9.2,是MFC的实现文件，包含37种背景减除算法，对于做目标提取的研究非常有用。(The BGSLibrary was developed by Andrews Sobral and provides an easy-to-use C++ framework based on OpenCV to perform background subtraction (BGS) in videos. )

暗通道去雾代码，使用c++实现 根据cvpr论文改写(Channel code to the dark fog)

图像去雾 暗原色 导向滤波 最好的去雾算法 何恺明的matlab代码的opencv的实现(haze removal guided image filtering the best algorithm to fog )

处理Gamma乘性噪声的PPB方法，考虑了非局部patch的相似性，可处理SAR图像去噪。(The PPB method for multicative noise removal, which based on the Probabilistic Patch similarity.)

在vs平台下利用opencv程序，可以处理图像的膨胀、腐蚀以及开闭运算。(Availability v Understanding use of open platform opencv degree, permissible processing, swelling, corrosion and opening and closing operation)

说明：  行人检测HOG+SVM进行图片中行人检测，提供训练用的pos和neg样本，效果还可以；没有SVM工具箱的，压缩包里已经提供了，安装一下即可(Pedestrian detection HOG + SVM for pedestrian detection in pictures, providing POS and neg samples for training, the effect is good; without SVM toolbox, the compression package has been provided, just install it.)

基于扫描地形图的几何纠正算法研究。主要讲解了关于倾斜的数字图像的处理问题。(Scanned topographic maps based on the geometric correction algorithm. Mainly on the inclination to explain the deal with the issue of digital images.)

图形voronoi图的自动生成算法，用vc做，是基于一般图形voronoi图的算法，结合数字图形处理里的轮廓跟踪算法，使一般图形voronoi图能够根据不同的生成元总动生成。(Graph voronoi diagram automatic generation algorithm, using vc do is based on the general graph voronoi diagram algorithm, combined with digital image processing in the contour tracking algorithm, the general graph voronoi diagram to the total depending on the generator automatically generated.)

自主选择性的查看一幅图像中的部分区域的颜色直方图：允许用户在一幅图像中选择一个矩形区域，通过按住鼠标键画一个矩形，当鼠标放开是，高亮显示矩形框，同时在另一个独立的窗口中，使用画图函数画一个图表（选定区域的颜色直方图），分别用蓝，绿，红表示选中区域中每种颜色的像素数量。(Self-selective color in an image to view a partial area of ​ ​ the histogram: Allows the user to select a rectangular area in an image by holding down the mouse button to draw a rectangle when the mouse is released, the highlighted rectangle, Meanwhile in a separate window, using the drawing functions to draw a chart (selected color histogram region), respectively, with blue, green, red indicates the number of pixels in the selected area of ​ ​ each color.)

采用了Harrtraining和离子滤波算法实现了拥挤人群人头计数，非常有用。VC++和Opencv开发，采用Oepncv中的Harrtraining训练一个分类器即可运行(Human detection and tracking in high density crowds is an unsolved problem. Standard preprocessing techniques such as background modeling fail when most of the scene is in motion. We integrate human detection and tracking into a single framework, and in- troduce a conrmation-by-classication method to estimate condence in a tracked trajectory, track humans through occlusions, and eliminate false positive detections.)