inverhuifu

混合高斯模型使用K（基本为3到5个） 个高斯模型来表征图像中各个像素点的特征,在新一帧图像获得后更新混合高斯模型,用当前图像中的每个像素点与混合高斯模型匹配,如果成功则判定该点为背景点, 否则为前景点。通观整个高斯模型，他主要是有方差和均值两个参数决定，,对均值和方差的学习,采取不同的学习机制,将直接影响到模型的稳定性、精确性和收敛性。由于我们是对运动目标的背景提取建模，因此需要对高斯模型中方差和均值两个参数实时更新。为提高模型的学习能力,改进方法对均值和方差的更新采用不同的学习率 为提高在繁忙的场景下,大而慢的运动目标的检测效果,引入权值均值的概念,建立背景图像并实时更新,然后结合权值、权值均值和背景图像对像素点进行前景和背景的分类。(Gaussian mixture model using K (essentially 3-5) Gaussian model to characterize the features of each pixel in the image, in the image of the new frame for updated Gaussian mixture model, with each pixel in the image with a Gaussian mixture current model matching, if successful, determined that the point of the background points, otherwise the former attraction. Throughout the entire Gaussian model, he mainly has two parameters determine the variance and the mean, the mean and variance of the study, to take a different learning mechanism, will directly affect the stability, accuracy and convergence model. Since we are moving object extraction of the background modeling, so the need for the Gaussian model variance and mean two parameters real-time updates. In order to improve the learning ability of the model, an improved method for updating the mean and variance of different learning rates to improve in the busy scene, large and slow moving object detection results, the introduction of)

WPF网络流量仪表盘

自己的小波包程序（含消噪、能量特征提取、信号重构等），希望对大家有帮助(Wavelet packet procedure (including de-noising, the energy feature extraction, signal reconstruction, etc.), we hope to help)

直方图均衡（HE），自适应直方图均衡（AHE），限制对比度的直方图均衡（CLAHE）的图像处理算法，运行无错误，效果还不错。包含循行结果对比。(Histogram equalization (HE), adaptive histogram equalization (AHE), and contrast-limited histogram equalization (CLAHE) image processing algorithm run without error, and the effect is good. Include line-by-line results comparison.)

moravec算子提取特征点，然后用相关度进行匹配(moravec operator feature point extraction, and then match the correlation)

四叉树分解算法对ＲＧＢ彩色图像进行分割，ＭＡＴＬＡＢ代码，包括实验图片(Quad-tree decomposition algorithm RGB color image segmentation, MATLAB code, including test images)

以MSTAR为实验数据，对SAR影像进行杂波统计分析研究。利用高斯、瑞利、对数正态、LN、gamma函数模型对其拟合，通过K-S方法检验拟合精度(The MSTAR the experimental data, statistical analysis of SAR images of clutter. Gaussian, Rayleigh, lognormal, LN, gamma function model to its fitting, fitting by means of checking the accuracy of KS)

克里金插值的3D算法，forrtran源代码。 可直接使用。 (Kriging 3D algorithm, forrtran the source code. Can be used directly.)

说明：  calibration摄像机镜头的校正程序(calibration Calibration camera lens calibration procedure)

Impulse response, system response, for signal processing