mtdel-wsnhows

说明：  60轨CAD断面图，严格按照国家标准作图，60轨CAD断面图(Cross-sectional drawing of 60-rail CAD)

MATLAB提取LBP纹理特征源码，可以使用(extract LBP texture features source code in MATLAB, you can run this program directly)

随着这些年计算机硬件水平的发展, 计算速度的提高, 源自序列蒙特卡罗方法的蒙特卡罗粒子滤波方法的应用研究又重新活跃起来,本()

说明：  用matlab实现的LSB的信息隐藏，有实验用的的图，可以完美运行(The information hiding of LSB realized by MATLAB, with experimental graph, can run perfectly)

说明：  简单的graph cut 算法，初学者适合(Simple graph cut algorithm for beginners)

在数字图像处理中，灰度直方图是最简单且最有用的工具，可以说，对图像的分析与观察直到形成一个有效的处理方法，都离不开直方图。(in digital image processing, the histogram is the simplest and most useful tool, it can be said that the right image analysis and observation until the formation of an effective treatment method has been based on histogram.)

基于keystone变换校正距离走动的机载预警雷达高速运动目标动目标检测方法(High-speed moving target moving target detection method based on keystone correction transformation walking distance airborne early warning radar)

主成分分析 （ Principal Component Analysis ， PCA ）或者主元分析。是一种掌握事物主要矛盾的统计分析方法，它可以从多元事物中解析出主要影响因素，揭示事物的本质，简化复杂的问题。计算主成分的目的是将高维数据投影到较低维空间。给定 n 个变量的 m 个观察值，形成一个 n ′ m 的数据矩阵， n 通常比较大。对于一个由多个变量描述的复杂事物，人们难以认识，那么是否可以抓住事物主要方面进行重点分析呢？如果事物的主要方面刚好体现在几个主要变量上，我们只需要将这几个变量分离出来，进行详细分析。但是，在一般情况下，并不能直接找出这样的关键变量。这时我们可以用原有变量的线性组合来表示事物的主要方面， PCA 就是这样一种分析方法。(Principal component analysis (Principal Component Analysis, PCA) or PCA. Is a statistical method to grasp the principal contradiction of things, it can be resolved diverse things out the main factors, revealing the essence of things, simplifying complex problems. The purpose of calculating the main component of high-dimensional data is projected to a lower dimensional space. Given n variables of m observations, forming an n ' m of the data matrix, n is usually large. For a complex matters described by several variables, it is difficult to know, so if you can grab something to focus on key aspects of analysis? If the main aspects of things just reflected on several key variables, we only need to separate out these few variables, for detailed analysis. However, in general, does not directly identify this critical variables. Then we can represent the major aspects of things with a linear combination of the original variables, PCA is one such analysis.)

医学图像处理，实现图像分割，一基于区域生长法；二基于最佳阈值分割(Medical image processing, and image segmentation, one based on region growing method two thresholding based on the best)

应用IHS、PCA、小波变换进行多光谱图像融合(Multispectral image fusion based on IHS, PCA and wavelet transform)