MRIbrainscan

稀疏自适应匹配追踪算法，无需稀疏度，就可以重构原始信号。(Sparse adaptive matching pursuit algorithm, without sparsity, we can reconstruct the original signal.)

这是一个经典的马尔科夫场程序。算法详细，而且里面含有一篇与程序对应的文献，解释非常详细，程序非常好用(This is a classical Markov field program. Algorithm is detailed, but it contains a corresponding literature and procedures, explaining in great detail, the program is very easy to use)

图论分割算法之一“Nystrom Ncut”MatLAB源程序。(MatLAB codeof “Nystrom Ncut”.)

白噪化处理，这是高光谱图像数据降维的前预处理，也称为球化，在数据降维中必须用到(White noise process, which is pretreatment hyperspectral image data dimensionality reduction, also called the ball in the data dimensionality reduction must be used)

采用近邻插值和双线性插值两种插值方法，对图像进行放大处理。(Neighbor interpolation and bilinear interpolation using two kinds of interpolation methods to enlarge the image processing.)

根据图的邻接矩阵判断图的连通性并计算图的分块数(To determine the connectivity of the graph and computing graph blocks according to the adjacency matrix)

序列DInSAR技术处理过程，相位在空间维上解缠的MATLAB实现。(Sequence DInSAR technique process, phase d turned over in the space of MATLAB.)

实现给定图像中目标的有效监测，并根据颜色对目标分割。(The object can be detector, and it is segmented by the color.)

稀疏矩阵的实例，讲述如何用稀疏矩阵进行实际的编程。本例是以超市购物为实际背景。(Examples of sparse matrix)

图像处理源程序，实现二值化变换，经一幅图像灰度化后，变成二值化图像，包括大津法、最大类间方差法、一般阈值法、及文本识别最有用的Niblack法(Image processing program and realized binarization transformation, after by a gray-scale image into binary image, including the Otsu method, Otsu method, the general threshold, and text to identify the most useful Niblack method)