均值滤波

已知Radon变换（CT原始数据）利用中心切片法则重建CT图像(Reconstruction using central slice theorem)

使用分裂Bregman算法做图像去噪，收敛速度很快，保持缘特征(using Splitting Bregman algorithm do image denoising, fast convergence to maintain edge features)

通过MATLAB平台使用surf算法实现图像拼接(Through the MATLAB platform using surf algorithm to achieve image stitching)

MATLAB在图像处理方面的优选教材，做遥感图像处理的同学可以下载学习(MATLAB in the optimization of image processing materials, remote sensing image processing students can download learning)

JPEG2000图像压缩算法，可计算压缩比，MSE，PSNR等参数(JPEG2000 image compression algorithm, you can calculate the compression ratio, MSE, PSNR and other parameters)

本程序为二值图像的处理。通过一种称为CNED(connectivity number based edge detection)的方法对二值图像进行边缘提取。结果表明这种方法比candy sober 等算子更加精确，效果更好。(This procedure for binary image processing. Through a known CNED (connectivity number based edge detection) method for binary image edge extraction. The results show that this method, such as candy sober than the operator more precise, better.)

极易分词源码包,好用最新版本,双向匹配分词(vulnerable segmentation source package, the latest version easier to use, two-way matching word)

Matlab入门级图像处理程序 低通滤波器对受噪声干扰的图像进行平滑处理,(Matlab entry-level image processing low-pass filter to smooth the image by noise,)

说明：  a）针对合成纹理图像（共有4 个合成纹理图像，见文件夹： Texture_mosaic_data）中每一个像素提取纹理特征向量； b）利用聚类技术（推荐用k‐均值聚类，可以从网上查找原码）对特征向 量空间中的点进行聚类，类别数可根据图像中的实际纹理类数确定。最后把类 属标签映射成图像形式显示（如下图，其中b、d、f、h 为相应的基准分割图像）。(A) for synthetic texture images (there are 4 synthetic texture images in total, see the folder: Texture feature vector is extracted from every pixel in texture; B) use clustering technology (K-means clustering is recommended, and the original code can be found on the Internet) to search the feature direction The number of categories can be determined according to the actual number of texture classes in the image. Last class The generic label is mapped to an image (as shown in the figure below, where B, D, F, h are the corresponding reference segmentation images).)

基于二维直方图最大熵阈值法的图像分割算法，可选取较好的阈值实现图像分割(failed to translate)