read envi

一个非常简小灵便的DICOM文件阅读器,支持多种格式的文件，支持图片的大多数编辑功能。(A very simple and handy DICOM file reader supports multiple formats of files and most editing functions of pictures.)

彩色图像处理 格式转化rgb2hsi，hsi2rgb 冈萨雷斯(AN M-function fro converting from RGB TO HSI, HSI to RGB)

几幅SAR图像。对SAR图像处理的童鞋很有用的。(Pieces of SAR images. Of SAR image processing is useful for students.)

读取一个文件夹中的任意数量图片，并对读入图片进行尺寸调整、灰度化处理、直方图均衡化处理，并显示图片(Read number of images from a folder, and adjust the size,do gray processing, histogram equalization processing with the pictures , and display pictures.)

EM算法的图分割,基于GMM模型改进的快速EM算法，为m文件(EM algorithm image segmentation)

CT重建图像时，先用BM3D滤波，然后运用经典的非局部平均去噪，效果很好。。(CT reconstruction image, the first with BM3D filter, and then use the classical non-local average denoising, very good. .)

通过背景差获取目标，提取车辆的不变矩，外加矩形度，圆形度，体态比等特征构成特征向量组，通过欧式距离识别出车辆。(through poor background, target acquisition, unchanged from the moment vehicles, plus rectangular, circular, Body composition characteristics than the eigenvector group, by the Continental distance identify vehicles.)

Split Bregman算法 各向同性，各向异性 图像去噪(Split Bregman algorithm TV model image denoising)

小波变换实现图像增强的示例，matlab编写。(an example of image enhacement based on wavelet transformation, writed by matlab.)

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)