图像融合算法

组稀疏表示，可用于信号的稀疏表示，内有多个demo(GroupSparseBox_V2, it can be usef in singal sparse model)

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.)

介绍了一种圆检测的方法，该方法，基于霍夫变换，并根据圆几何特征可以快速准确的提取出圆中心坐标(Introduction of a circle detection method, based on the Hough transform, and in accordance with the characteristics of circular geometry can be extracted quickly and accurately the circle center coordinates)

说明：  标准图像库，里面有国际上通用的标准图像，用于图像处理(Standard image library, which has a common international standard image)

Read jpeg rgb color structure

opencv中对扫描图片的切边处理，并且对倾斜图片进行旋转矫正，(The cutting edge of the picture in opencv, rotation correction)

主要功能是实现相机标定，以及实现反投误差，实现特征点的提前。(The main function is to achieve camera calibration and error to achieve the anti-investment, to achieve the feature points in advance.)

采用matlab代码进行超像素分割，可以很好使用，效果好(Super-pixel segmentation using matlab code can be used well and the effect is good.)

说明：  特效显示，交叉飞入等。。。来自VC++图像处理程序设计配套光盘(Effects show that such cross-fly. . . From the VC++ image processing program design supporting CD-ROM)

这是本人写的利用均值平移算法分割图像，同时包括分割后的图像合并(Mean-Shift algorithm for image segmentation)