matlab图像处理(lena)

当前流行的机器学习算法之一：boosting的变体——Gentleboost(The current popular one of machine learning algorithms: boosting variants- Gentleboost)

高分辨率遥感图像道路提取算法实现，主要思路是利用道路中心点，得到道路中心线。(Road Extraction from High Resolution Images algorithm, the main idea is to use the center of the road, get the road centerline.)

关于图像处理程序，它能实现对破损图像的提取和修复，速度快( Image processing program, it can achieve the extraction and repair damaged images, fast)

图形图像处理算法大全，包含各种算法的源码，只要经过简单修改就可变为程序(Daquan graphic image processing algorithms, including the source code for various algorithms, as long as you can into a program after a simple modification )

快速角点检测算法，本算法针对图像中存在的线和点进行检测，算法通过matlab程序实现，结果表明具有很好的效果(Fast corner detection algorithm, the algorithm for images that exist in the line and point detection algorithm matlab program, results show that with good results)

基于轮廓波变换的图像硬阈值去噪程序，并通过等效视数、斑点噪声指数进行评价(Hard-based image thresholding wavelet transform program outline and uated by ENL, speckle noise figure)

说明：  RGB-IHS变换：图像进行 RGB-HIS 正变换，分别对明度、饱和度、色调进行线性 拉伸显示；然后再进行反变换 (RGB-IHS transformation: the image is RGB-HIS transformation, respectively, lightness, saturation, hue, a linear stretch display then the inverse transform)

基于图像的灰度共生矩阵方法的图像纹理分割(Gray-level image-based methods of co-occurrence matrix image texture segmentation)

说明：  基于小波变换，小波分解的图像融合算法，完整代码(Image fusion algorithm based on wavelet transform and wavelet decomposition, complete code)

卡尔曼滤波源代码 Some brief notes ---------------- kfdemo.m is a Matlab script file to run a demonstration of the Bayesian Kalman filter. It loads file kfdemo.mat (saved as version 4 so that it will read in either v4 or v5 Matlab). The other files are called by kf.m (the Kalman filter) or included as they may be useful. Normalis.m normalises data to zero-mean, unit variance along components. I always do this before any further analysis. Steve Roberts 7-2-98 (Kalman filter source code Some brief notes kfdemo.m is a Matlab script file to run a demonstration of theBayesian Kalman filter. It loads file kfdemo.mat (saved as version 4so that it will read in either v4 or v5 Matlab). The other files are called by kf.m (the Kalman filter) or includedas they may be useful. Normalis.m normalises data to zero-mean, unit variance along components. I always do this before any furtheranalysis.Steve Roberts 7-2-98)