CvThrehold

目标物与摄像机距离已知的情况下，计算白天大气能见度距离。(The distance between the object and the camera is known to calculate the visibility distance in daytime.)

很有用的gdal库，并且已经编译好。请多多指教!(It is a very good resource！Please download！！)

能比较全面的图像处理系统。主要内容包括：位图基础、图像的显示、图像的几何变换、图像灰度变换、图像的平滑处理、图像锐化处理及边缘检测、图像分割及测量、图像的形态学处理、图像的变换域处理及应用、图像的合成、24位彩色图像的处理、JPEG图像的压缩编码(can more comprehensive image processing system. Main contents include : bitmap based, image display, image geometry transformation, gray transform, image smoothing, image sharpening and edge detection, image segmentation and measurement, image morphology, Image Transform and application processing, image synthesis, 24-bit color image processing, JPEG image compression coding)

实现巴特沃斯低通滤波器的小程序，大家看看能不能参考一下。(Butterworth low-pass filter program, see if you can refer to.)

RLE压缩算法,对.bmp格式文件进行操作。使用MFC编制界面，可读入位图，压缩后保存位图并显示。(RLE compression algorithm, bmp format file operation. Use the MFC preparation interface, readable into the bitmap compressed to save a bitmap display.)

说明：  实现了图像的打开功能，并能实现图像打开时的扫描，渐进，马赛克等功能(To realize the image of the open function, and can achieve image scans open, progressive, mosaic and other functions)

根据指定字符分割字符串，VC++精选编程源码，很好的参考。(According to the specified character segmentation character string, VC++ select programming source code, a good reference.)

混合高斯(Mixture of Gaussian, MOG) 背景建模算法和Codebook 背景建模算法被广泛应用于监控视频的运动目标检测问题, 但混合高斯的球体模型通常假设RGB 三个分量是独立的, Codebook 的圆柱体模型假设背景像素值在圆柱体内均匀分布且背景亮度值变化方向指向坐标原点, 这些假设使得模型对背景的描述能力下降. 本文提出了一种椭球体背景模型, 该模型克服了混合高斯球体模型和Codebook 圆柱体模型假设的局限性, 同时利用主成分分析(Principal components analysis, PCA) 方法来刻画椭球体背景模型, 提出了一种基于主成分分析的Codebook 背景建模算法. 实验表明, 本文算法不仅能够更准确地描述背景像素值在RGB 空间中的分布特征, 而且具有良好的鲁棒性.(The background modeling algorithm of mixture of Gaussian (MOG) and codebook is widely used in moving object detection of surveillance video. However, the ball model of MOG usually assumes that the three components of RGB are independent, while the cylinder model of codebook assumes that the value of background pixel is distributed uniformly within the cylinder and the changing direction of brightness points to the origin of the coordinate system. These assumptions reduce the descriptive capability for background modeling. Therefore, the paper proposes an ellipsoid- based background model, which overcomes the MOG and codebook0s limitations. By using principal component analysis to depict the ellipsoid background model, a novel PCA-based codebook background modeling algorithm is proposed. Experiments show that this algorithm can not only give more accurate description of the distribution of background pixels but also have a better robustness.)

点云读取，旋转，平移，缩放，统统是包含全视图的各种视图的显示(Point in put)

根据RBM深度网络（Hinton，2006）进行MINST手写文字的分类器的训练，利用训练得到的权值制作了这个小程序，通过这个程序可以看出训练结果对数据集内的测试样本和训练样本都能进行很好的识别，但是对其他的手写字体识别就没有那么好了。(According to RBM depth network (Hinton, 2006) conducted MINST handwritten text classifier training, using the training to get the right value to produce this small program, this program can be seen through the results of the training data set and the training sample test samples are can be well identified, but on the other handwriting recognition is not so good.)