draw

自己编写的粒子群优化算法,以计算一个函数的值作为测试,达到了良好的精度(The particle swarm optimization algorithm written by ourselves is designed to calculate the value of a function as a test, and good precision is achieved.)

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.)

超分辨率源代码，用它可以实现超分辨率，提高影像的分辨率，可以使一使(super-resolution source code, using it to achieve super-resolution and improve image resolution, can make a)

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.)

计算特征的汉明距离作为特征匹配相似度的评价标准(The Hamming distance of the feature is used as the evaluation criterion of feature matching similarity)

说明：  图像重建Matlab程序，仅供参考学习，希望对您有用。大家一起学习进步。(Image reconstruction matlab program, only for reference learning, hope to be useful to you. Let's learn and improve together.)

数字图像处理中的常用图，LEANNA图，大米图等等，超多图像。(Digital image processing in commonly used map, LEANNA maps, map of rice, etc., super multi-image.)

很好的解析bmp图片的源代码，很不错的初学者的例子，换页大家下载(Very good analytical bmp image of the source code, it is a good example for beginners, for everyone to download page)

浏览图片的缩略图时，点击某张缩略图，被点击的缩略图会在当前视图放大并且全屏显示，背景用黑色透明视图遮挡。再次点击图片，将回到缩略图浏览状态(Media Focus Manager)

说明：  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.)