动态背景

MCA图像修复,包含MCA和EM图像修复算法(MCA inpainting)

这个matlab程序是基于纹理的图像检索源码，纹理特征是图像的基本特征特征之一，所以基于纹理的图像检索是图像处理的热点。(The matlab program is based on the source texture image retrieval, texture image is characterized by one of the characteristics of the basic features, so texture-based image retrieval is a hot image processing.)

像素级融合实现 pca his，brovery加权融合方法，很不错(Pixel level fusion to achieve pca his, brovery weighted fusion method, very good)

通过光瞳函数傅里叶变换计算 光学系统OTF(By the optical system of the Fourier transform of the pupil function OTF)

说明：  运行jdxingtaixue文件，该程序用固定结构元素形态学对图像进行边缘检测(Run jdxingtaixue file, the program with a fixed structure element morphology of the edge detection)

radon 的逆变换,可以实现图像重建，前提是前面的投影用radon变换来做(iradon)

说明：  图像高斯滤波,再边缘检测中,首先要用到高斯滤波(images Gaussian filtering, edge detection again, the first use of the Gaussian filter! !)

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)

对图像进行处理，利用拉普拉斯锐化进行边缘检测。(The image is processed and the edge is detected by Laplasse sharpening.)

GSM中GMSK调制信号的产生，一种噪声辅助数据分析方法,用于图像处理的独立分量分析。( GSM is GMSK modulation signal generation, A noise auxiliary data analysis method, Independent component analysis for image processing.)