分形算法与程序设计

这是计算机图形学的一个bessel画线算法。直接可以运行。-This is a computer graphics Bessel line drawing algorithm. Direct run.

在m_pic控件里画一个坐标轴，有两个Y轴，并可以实现无闪刷新-Lane painting m_pic control in a coordinate axis, two Y-axis, and can be achieved without flash refresh

Visual C++图象处理程序.可以识别人的脸部.速度快.不过要用响应的库文件.-Visual C++ Image processing procedures. Can identify people in the face. Faster. But in response to the library file to use.

在混合高斯背景模型基础上，通过混合高斯匹配将前后两帧分割出的运动目标作差分，差分后再次采用混合高斯匹配分辨出过去目标区和当前目标区。在背景更新的过程中，加大过去目标区的更新率，让运动目标在出现停滞状态时给背景模型带来的干扰区域得到快速恢复。试验结果表明，该方法有效地提高背景模型的鲁棒性。停滞状态时给背景模型带来的干扰区域得到快速恢复。试验结果表明，该方法有效地提高背景模型的鲁棒性。

kmeans This directory contains code implementing the K-means algorithm. Source code may be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANS program accepts input consisting of vectors and calculates the given number of cluster centers using the K-means algorithm. Output is directed to the screen. Usage for KMEANS is: KMEANS SOURCEFILE The format of the source file is: NPat - Number of patterns (int) SizeVect - Size of vector (int) NClust - Number of cluster centers(int) vect[1,1] ... vect[1,SizeVect] - vector 1 (real) vect[2,1] ... vect[2,SizeVect] - vector 2 (real) . . . . . . vect[NPat,1] ... vect[NClust,SizeVector] - vector N (real) To compile: ICC KMEANS.CPP -kmeans This directory contains code implementing the K-means algorithm. Source code may be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANS program accepts input consisting of vectors and calculates the given number of cluster centers using the K-means algorithm. Outpu

真正可用的RGB转YCbCr的verilog程序，输出格式为标准BT.656格式，经本人亲自编写并验证，可在硬件上正常工作。-Truly available to the Verilog RGB to YCbCr procedures BT.656 output format as the standard format, as I personally prepared and verified in the hardware work correctly.

win-tc编译器模拟windows画板

一套指纹识别的c语言源代码-a fingerprint identification c language source code

简单的图形操作（c#） -simple graphics operations (c#)

gabor滤波器提取不同方向、不同尺度特征，可用于图像识别-gabor filters extract different directions and different scale features can be used to image recognition