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说明：  VC bmp图像数据读取和输出代码程序,经过编译可行(compiled vc program in reading image )

介绍Opencv这个图像处理库环境下的GMM建模与EM算法，从数学的角度深入分析高斯建模和EM算法(Introduce the the Opencv this image processing GMM modeling the EM algorithm in the library environment, in-depth analysis from a mathematical point of the Gaussian model and the EM algorithm)

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.)

运动模糊图像 图像复原 维纳滤波复原 逆滤波复原 VC++6.0程序 代码(Motion-blurred image restoration image restoration Wiener filtering inverse filtering to recover VC++ 6.0 code)

VB像素光影跟踪（图像渲染）工具,有需要的就下载吧。(VB Tracking pixel lighting (image rendering) tools, there is a need to download it.)

对BMP文件进行图像处理，包括：边缘检测、频域变换、几何变换、图像变换校正、灰度变换、图像编码、平滑和匹配(BMP files for image processing, comprising: an edge detection, a frequency domain transformation, geometric transformation, image transformation correction gradation conversion, image coding, and matching the smooth)

Image processing using sobel operator

对图像进行旋转和缩放的源代码,支持原图像的抽样处理及任意角度的旋转(The image rotation and scaling in any direction)

VC++处理图像模糊或柔化的效果示例源程序，类似Photoshop中的图像高斯模糊效果，每点击一次鼠标右键，程序为模糊一次，直到你满意为止。注意程序仅实现了模糊的功能，其它功能比如程序优化和效率方面的考虑还比较少，因此程序运行速度方面可能会欠缺一些(VC++ deal with image blur or soften the effect of sample source code, similar to Photoshop' s image Gaussian Blur effect, each click the right mouse button, the procedures for fuzzy time until you are satisfied. Note that the program is only vague functions, other functions such as process optimization and efficiency considerations is still relatively small, the speed of the program is running may lack some of the)

基于opencv的C语言的疲劳驾驶检测代码，肤色检测人脸(fatigue driving detecting)