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说明：  运行小波变换对图像进行处理分析，包括去噪纹理提取等(Running wavelet transform to process and analyze image, including denoising texture extraction, etc.)

完整的仿真了地形匹配中的TERCOM算法，包含了地形数据。(A complete simulation of terrain matching in the TERCOM algorithm, including terrain data.)

本代码为Canny检测算法的实现，功能为对图象边缘确定与提取(The code for the the Canny detection algorithm, determine and extraction the edge of the image)

说明：  lowe论文的sift算法的MATLAB源代码(MATLAB source code of sift algorithm for lowe paper)

Laws纹理策度是用来进行纹理分割的程序,这种方法很有用.(Laws degree texture strategy are used for texture segmentation procedure, this method useful.)

产生正弦信号，加入高斯白噪声，并用小波方法去噪(Produce sine signals, add white gaussian noise, and wavelet denoising method )

在VC++6.0开发环境下，图像中值滤波的源码实现，编译即可运行~(In VC++6.0 development environment, the source image median filter implementation, the compiler can be run ~)

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.)

开发 API人脸检测实例教程，应用程序编程源码，很好的参考资料。(Tutorial examples of the development of API face detection, application programming source code, a good reference.)

比较简单的jpeg编码解码程序.( Compared with simple jpeg code decoding procedure )