中国7大地理分区

基于CVI的二维码图像识别 QR Code的认识和识别(Awareness and recognition of the two-dimensional code image QR Code)

说明：  可以计算图像结构相似性，评价图像质量(Similarity of image structure can be calculated and image quality can be evaluated)

说明：  python实现人脸识别，通过pca进行降维然后使用SVM算法进行分类(Python realizes face recognition, dimensionality reduction through pca and classification by SVM algorithm)

直接用于进行河流直线基流分割，界面友好，参数修改方便(Directly used for river base flow separation friendly interface)

EZW图片压缩，利用EZW原理在matlab里面编程实现图片压缩(EZW-compression of picture)

CV源码 levelset模型分割图像源代码(CV code)

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.)

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.)

实现三频外差法展开相位，包含理想条纹图片数据。(multi frequency unwrapping phase including standard fringe data)

通过在matlab软件平台上进行仿真，实现天线阵列的自适应波束赋形(Realization of adaptive beamforming)