suif1.info-3.tar

在统计学中，皮尔逊积矩相关系数（英语：Pearson product-moment correlation coefficient，又称作 PPMCC或PCCs[1], 文章中常用r或Pearson s r表示）用于度量两个变量X和Y之间的相关（线性相关），其值介于-1与1之间。在自然科学领域中，该系数广泛用于度量两个变量之间的相关程度。它是由卡尔·皮尔逊从弗朗西斯·高尔顿在19世纪80年代提出的一个相似却又稍有不同的想法演变而来的。这个相关系数也称作“皮尔森相关系数r”。(In statistics, Pearson product-moment correlation coefficient (English: Pearson product-moment correlation coefficient, also known PPMCC or PCCs [1], the article used or Pearson s r r representation) is a measure of the two variables X and Y between correlation (linear correlation), a value between-1 and 1. In the natural sciences, the coefficient is widely used to measure the degree of correlation between the two variables. It is made a similar Karl Pearson Francis Galton in the 1880s but made a slightly different idea evolved. The correlation coefficient is also called Pearson s correlation coefficient r .)

mean shift功能演示，实现图像分割，具体请看效果(the demonstration of the mean shift algorithm)

说明：  将基于小波变换的水印嵌入后的宿主图像加噪处理再提取灰度水印。(will be based on the wavelet transform the watermark embedded in the host Image Noise from Gray again watermark.)

Matlab环境下的基于独立分量分析（ICA）算法的图像混合与分离仿真程序．(Matlab environment based on the independent component analysis (ICA) algorithm for image simulation mixed with the separation process sequence.)

可同时实现多幅图片的傅里叶能量谱统计与分析！得到相应通道能量的信息！(Multiple images to achieve the power spectrum of Statistics and analysis!)

System Generator中图像分割算法建模(Image segmentation algorithm for modeling in the System Generator)

很棒的盲源分离的源代码 值得大家做盲信号处理的好的源代码(Great blind source separation of the source code is worth doing good blind signal processing source code)

通过高通滤波器实现对图像的锐化处理，能去除不需要的模糊轮廓而加强边缘的对比度。(Image sharpening to achieve through a high-pass filter, and enhance the contrast edges blurred outline can remove unwanted.)

张正友的标定工具箱，原来的错误已经更改，源码完全可用！(Zhang Zhengyou Calibration Toolbox, the original error has been changed, complete source code available!)

利用数学形态学构成形态学滤波器对图象进行滤波,处理效果较满意.(using mathematical morphology constitute morphological filter image filtering, processing more satisfied with the results.)