2D-Wavelet-Transformation

有关图像处理中的图像校正，MATLAB，亲测可行(ImageRegistration matlab)

说明：  利用区域能量方法的matlab图像处理程序直接可用(Use of regional energy method matlab image processing program can be used directly)

C#写的绘图板，实现了直线，矩形，圆形，多边形，曲线和文字输入，可以任意的拖动所画的图形。(C# to write the drawing board to achieve a straight line, rectangle, circle, polygon, curve and text input, you can drag the drawing arbitrary graphics.)

一个有关边缘检测 robert sobel FFT傅里叶变换等算法的demo(a demo using VC++ that implements the algorithms of edge detection and FFT)

基于radon的图像运动模糊参数估计程序，估计了模糊角度与模糊尺度，但过大的图片需先处理后才能使用(Radon-based image motion blur parameter estimation procedure, estimates of the fuzzy point and fuzzy scale, but the picture is too large to be treated before use)

matlab 高光谱处理工具箱 hyperspecreleasesmatlab_hyperspectral_toolbox_v0.07.zip( Matlab Hyperspectral Toolbox Copyright 2008-2012 Isaac Gerg ------------------------------------------------------------------------- A Note on Notation Hyperspectral data is often expressed many ways to better describe the mathematical handling of the data mainly as a vector of pixels when referring to the data in a space or a matrix of pixels when referring to data as an image. ------------------------------------------------------------------------- Dependencies FastICA- http://www.cis.hut.fi/projects/ica/fastica/code/dlcode.shtml ------------------------------------------------------------------------- Functions Reading/Writing Data Files hyperReadAvirisRfl- Reads AVIRIS .rfl files hyperReadAvirisSpc- Read AVIRIS .spc files hyperReadAsd- Reads ASD Fieldspec files. (.asd, .000, etc) Data Formatting hyperConvert2D- Converts data from a 3D HSI data cube to a 2D matrix hyperConvert3D- Converts data fro)

图像分割是图像分析的关键步骤，而水平集方法是图像分割的一项热门方法，它有着许多算法不具有的优点，尤其可用于分割背景复杂信息难以提取的医学图像。这里是一些水平集分割图像的matlab的实现例子，希望可以帮到大家。(Image segmentation is the key step of image analysis, while the level set method is a popular image segmentation method, it has many advantages that the algorithm does not have, especially can be used for medical image segmentation of complex background information is difficult to extract. Here is some level set segmentation image matlab example, I hope we can help you.)

说明：  本文以k-means算法为背景，引入信息熵相关知识，从而实现全自动分割图像。然而在利用混合高斯模型对图像进行数据分析时，会发生一定的过拟合现象，导致我们得不到预期的聚类数目。本文设计合理的合并准则，令模型简化，有效地消除过拟合现象，使得最后得到的聚类数目与预期符合。，设计合理的准则改进了图像的全自动分割方法，使得分割结果更加优化(In this paper, k-means algorithm is used as the background, and information entropy related knowledge is introduced to realize full-automatic image segmentation. However, when the Gaussian mixture model is used to analyze the image data, there will be some over-fitting phenomenon, resulting in that we cannot get the expected number of clusters. In this paper, a reasonable merging criterion is designed to simplify the model and effectively eliminate the over-fitting phenomenon, so that the final clustering number is in line with the expectation. A reasonable criterion is designed to improve the automatic image segmentation method and make the segmentation result more optimized.)

初学者的游程编码，可以进行小图像的压缩，可以以此为基础进行编码和参考(RLE beginner, you can make small image compression, can be encoded as a basis and reference)

说明：  噪声估计法，先定位噪声点，再实行去噪处理(Noise estimation method, first locate the noise points, then implement denoising.)