MATLABimageprocess2

Region growing segmentation software on matlab.

说明：  使用matlab进行图像去雾，有助于帮助刚入门的图像小白学习matlab图像处理(Matlab image defogging, helpful to help beginners learning image white matlab image processing)

特征提取，主要是灰度共生矩阵和不变矩特征提取的程序，openCV下可直接运行(Feature extraction, mainly GLCM and invariant moments feature extraction procedures can be run directly under openCV)

pca算法，用于数据降维，注释非常详细清晰，(PCA algorithm, for data dimensionality reduction, clear and very detailed notes,)

用于绘制光子晶体光纤空气孔形状的可扩展程序。(This is a simple and expandable programm for the air hole shape of Photonic crystal fiber )

一个读取DXF文件的工具，有示例，有源代码，对某些需要与Autocad进行图形学接口编程的朋友有十分重要的工具，我可以千般辛苦找来的。(a read DXF files tools, example, the active code, certain needs and Autocad graphics interface for programming and friends very important tool, I can offer all kinds of hard to find.)

在matlab中的分形图像放大程序；对初学者很有用哦！(In the matlab source code to raise the image resolution is indeed very useful!)

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.)

使用vtk库开发的volume程序，主要用于建立多边形面片，用于演示三维体的算法。(Developed using VTK library volume procedures, set up primarily for polygon surfaces for the presentation of three-dimensional body algorithms.)

利用matlab的gui设计的带有输入和输出功能的界面图形，可视性很强，学习非常值得(The interface graphics with input and output functions designed by GUI of MATLAB have strong visibility and worth learning.)