均值滤波

图像重定向源代码，本文提出一种网格变形框架，允许显著特征进行均匀缩放，从而保证图像内容的完整性，将变形分布到不重要的区域。(The source code of optimal scale stretching image redirection is presented, and an effective image redirection algorithm is proposed to better guarantee the integrity of the image.)

说明：  用分水岭算法进行图像分割，借鉴形态学理论，将一幅图看成拓扑性地图，其中灰度值对应地形高度。(The watershed algorithm is used for image segmentation, and a map is regarded as a topological map, in which the gray value corresponds to the terrain height.)

说明：  Fienup的混合输入输出算法，是一种迭代算法，用来求相位的算法HIO(Fienup's hybrid input and output algorithm is an iterative algorithm used to find the phase algorithm HIO)

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.)

一种基于轮廓的步态识别文献，思路清晰便于实现(Based on the outline of gait recognition literature, to facilitate the achievement of clear thinking)

说明：  matlab实现均值滤波，中值滤波，同时操作(Matlab to achieve mean filtering, median filtering)

先用PCA降维，在利用支持向量机进行分类，这个分类是二分类，所以PCA的降维降到两维即可分类。(Firstly, PCA dimensionality reduction is used to conduct classification with support vector machine. This classification is binary classification, so the dimensionality reduction of PCA can be reduced to two dimensions for classification.)

snake例子，可以帮助初学者深入具体的对SNAKE 的架构和算法思想进行理解(snake example, can help beginners depth of the Snake concrete structure and algorithm for understanding)

说明：  实现了图像处理中常用的对比度计算公式，和一个图像变换的画布扩大，只需要稍微修改即可用。(Image processing to achieve a common formula for calculating the contrast ratio, and an image transformation of the canvas to expand, require only a slight modification can be used.)

实际求解反照率的代码 对于遥感专业会有很大帮助(this code is an example of how to calculate the actual albedo if you have black and white albedo)