MSE

Kullback-Leibler Importance Estimation Procedure利用Matlab程序实现图像间KL散度的阈值分割(Kullback-Leibler Importance Estimation Procedure procedure using Matlab implementation KL divergence between the image of the threshold segmentation)

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 .)

说明：  将hdf格式转换为tif格式、重投影、重采样(.hdf to .tif, resample)

　　本函数选用阈值分割的方法来完成瞳孔定位。根据图像的灰度分布特性，瞳孔部分的灰度值最小，其次为虹膜部分，最大的为巩膜部分。因此在灰度直方图中，第一个大峰值的邻域即是瞳孔所在区域。(Function selects the threshold segmentation method to accomplish the pupil location. Based on image gray distribution features, the pupil part of the grey value of the minimum, followed by the iris part, the biggest part of sclera. So in gray level histogram, the peak value of the first big neighborhood is the pupil area.)

ENVI中的ROI感兴趣文件自动转换成TIFF影像数据文件(ROI To Tiff Files)

模糊C-均值（FCM）聚类算法，用MATLAB程序编写。(FCM clustering algorithm)

能够实现对SAR图像和其他类型的包含大量噪声的图像进行平滑去噪，在去除噪声的同时还能保持并增强边缘，适用于目标提取。(SAR images can be achieved and other types of containing large amount of noise in the image smoothing denoising, remove the noise while maintaining and enhancing the edge, suitable for object extraction.)

对视频生成sprite图像，费了作者很大的力气，拿来与大家共享！(sprite generation of video images, and a lot of effort author, used to share with you!)

说明：  维纳滤波 最小二乘方 Lucy richardson图像复原 盲去卷积复原 图像复原法的综合比较(Wiener filtering least squares Lucy richardson image restoration blind deconvolution image restoration method to recover a comprehensive comparison)

像素与图像基本指标—彩色图像的基本信息、像素颜色值、图像的大小、矩阵形式等、对灰度图像计算有关统计参数：（1）图像的大小；（2）图像的灰度平均值；（3）图像的自协方差；（4）图像的灰度标准差、对图像进行45度，19度，98度等任意角度的旋转，并计算原图与旋转后图像的相关系数和协方差矩阵(Pixel and Basic Index of Image)