789CODING-FOR-mri-SEGMENTATION

基于MATLAB的数字图像处理程序，给出一幅染色体图像，通过边缘检测，及腐蚀等算法统计出染色体的数量。(MATLAB-based digital image processing procedures, are given a piece of chromosome images, through the edge detection, and corrosion, such as algorithm statistics the number of chromosomes.)

实现dicom和bmp之间的转换。适合医学图像中的最初学习。(transformation between dicom and bmp image.)

在idl环境下，用最佳指数法对高光谱图像进行波段选择的程序(OIF)

此文档中的代码可以计算5种图像的质量参数，分别是：图像灰度均值、图像方差、图像平均梯度、熵和峰值信噪比及均方误差。(The code in this document can be calculated five kinds of image quality parameters, namely: the image gray value, image variance, average gradient image, entropy and peak signal to noise ratio and mean square error.)

一个简单的图像处理中粗糙度和方向度的MATLAB编程实现，已经通过调试，无误可用(A simple image processing in the direction of roughness and degree of MATLAB programming, has been through debugging, accurate available)

冈萨雷斯第三版 10.3.6节 关于双 ostu阈值处理的算法(digital image processing,third edition the code about two ostu threshold processing)

此文件一共包含3个m文件。第一个文件的功能是绘制一个二值图像，并显示其傅立叶幅度谱。文件2功能是设计频域理想低通滤波器，并加以验证：读入一个二值图像(cameraman.tif)加噪声后在频域进行低通滤波观察滤波后的图像效果。文件3的功能是对图像eight.tif加入椒盐噪声后，实现Butterworth低通滤波.(This file contains 3 m documents. Functions of first file is to draw a binary image, and displays its Fourier amplitude spectrum. Document 2 is designed to function a frequency domain ideal low-pass filter , and verified it: reading a binary image (cameraman.tif) plus noise on it and smoothing it in the frequency domain using low-pass filtering.The filtered effect will be observed by displaying image.Document 3 is designed to read a binary image(eight.tif) and add salt and pepper noise on it, realized frequence domain Butterworth low-pass filter.)

压缩感知中的梯度投影重构算法，经修改可以运用与单像素相机成像(Gradient projection reconstruction algorithm of compressed sensing, modifications can be used with single pixel camera imaging)

模糊c均值聚类算法对遥感图像分类，可自己进行修改(Fuzzy c means clustering algorithm for remote sensing image classification can be modify their)

压缩感知重构算法，正交匹配投影算法，一维信号重建(Compressed sensing reconstruction algorithm, orthogonal matching projection algorithm, one-dimensional signal reconstruction)