PrimeBackgroundDetection

说明：  一个用VC++6.0编的程序例子，实现远程屏幕图像的传输 (a VC 6.0 Provision procedures example, remote screen image transmission)

计算机图像处理，MFC实现图像的直方图显示、直方图的均衡化，以及中值滤波等功能(Computer image processing, MFC histogram of image display, histogram equalization and median filter and other functions)

利用Mean-shift进行平滑处理，主要是对图像进行平滑的界面，MFC和OpenCV进行混合编程……(Mean-shift smoothing, image smooth interface, the MFC and OpenCV mixed programming ...)

用数字图像处理主要是为了修改图形,改善图像质量,或是从图像中提起有效信息,还有利用数字图像处理可以对图像进行体积.(Using digital image processing is mainly graphics in order to modify and improve the image quality, or from the image to bring effective information, as well as the use of digital image processing can be carried out on the image size.)

精通Visual C++图像处理编程中的一个小程序，实现图像的各种扫描和移动，百叶窗等，可以作为初学者学习用

针对图像秘密共享前需要像素置乱的问题，基于(t, n)门限多重秘密共享思想，提出一种免置乱的图像秘密共享方案，以第n+1人的秘密份额作为因子参与秘密分割与重构，加大相邻像素之间的差距(Based on (t, n) threshold multiple secret sharing ideas, and put forward a kind of scrambling image from secret sharing scheme to n+ 1 people share the secret as factors involved in secret segmentation and reconstruction, increase the gap between adjacent pixels)

利用Artoolkit实现了虚拟现实的算法，VS2008下测试通过(Use Artoolkit algorithm to achieve a virtual reality, VS2008 under test)

用VC编写的一个图像处理的程序：它可以实现图像的增强，包括：图像的平滑、中值滤波、梯度锐化、拉普拉斯锐化和伪彩色编码(VC prepared by an image processing procedures : it can enhance the images, including : image smoothing, Median filtering, sharpening gradient, Laplacian sharpening and pseudo-color coding)

对图像进行纹理处理，为图像识别、目标跟踪创造条件。主要分析：惯性矩、熵以及局部平衡性。(The image texture processing for image recognition, target tracking and create conditions. Main analysis: moment of inertia, entropy, and local balance.)

最小二乘法拟合圆vc实现，最小二乘法(least squares analysis)是一种 数学 优化 技术，它通过 最小化 误差 的平方和找到一组数据的最佳 函数 匹配。 最小二乘法是用最简的方法求得一些绝对不可知的真值，而令误差平方之和为最小。(least squares fitting round vc realized, least-squares method (least squares analysis) is a mathematical optimization techniques, It error by minimizing the square and a group of data to find the best matching function. Least-squares method is the most simple method to derive absolutely true value unknown, and so the sum of squared errors to the minimum.)