分形维数计算的matlab

Fast Discrete Curvelet Transform有正反变换,各个程序里面的参数都有详细的说明.(Fast Discrete Curvelet Transform are pros and transform, inside the various parameters have detailed explanations.)

图像分块图像分块图像分块图像分块图像分块图像分块(function b=im2col(varargin))

通过Markov随机场（MRF）实现图像的分割，例程给出了图像分割为3类的MRF算法(By Markov random field (MRF) for image segmentation, image segmentation routine gives the MRF algorithm for the three classes)

离散分数阶傅立叶变换，算法参考 C. Candan, M.A. Kutay, and H.M. Ozaktas. The discrete Fractional Fourier Transform. IEEE Trans. Sig. Proc., 48:1329--1337, 2000 (Discrete fractional Fourier transform algorithm reference C. Candan, MA Kutay, and HM Ozaktas. The discrete Fractional Fourier Transform. IEEE Trans. Sig. Proc., 48:1329- 1337, 2000)

一种基于半监督的svm的图像分类方法。该方法通过聚类核的方法利用无标记样本局部正则化训练核的表达式。这种方法通过图像直接学习一个自适应的核。该程序仿真的是文章：Semi-supervised Remote Sensing Image Classification with Cluster Kernels。大家可以参考下。(A semi-supervised SVM is presented for the classification of remote sensing images. The method exploits the wealth of unlabeled samples for regularizing the training kernel representation locally by means of cluster kernels. The method learns a suitable kernel directly from the image, and thus avoids assuming a priori signal relations by using a predefined kernel structure. Good results are obtained in image classification examples when few labeled samples are available. The method scales almost linearly with the number of unlabeled samples and provides out-of-sample predictionsds)

IDL环境下的EVF矢量数据创建，代码清晰。(IDL environment EVF vector data creation, code clarity.)

实现图像的超分辨率算法，采用最大后验（MAP）算法，实现效果不错。(Image super-resolution algorithm using maximum a posteriori (MAP) algorithm, to achieve good results.)

雷达成像Dechirp 脉冲压缩代码 ，感兴趣的可以看看。(Radar the imaging Dechirp pulse compression code, and can see the interest.)

说明：  直接可以运行的，基于matlab平台，里面包含了frost滤波,Lee滤波和kuan滤波，均可以直接运行。(Can run directly, based on MATLAB platform)

说明：  本文为图像分割源代码，把一幅在MATLAB中读入的图像分割成任意块(This article image segmentation source code, put a read into the MATLAB image is divided into arbitrary blocks)