frft_candon

说明：  运用matlab在遥感图象上运用神经网络方法进行图像分类(Using matlab to classify remote sensing images using neural network method)

说明：  图像盲复原，图像非盲复原，利用低秩分解进行图像盲复原处理，RPCA模型算法，GoDec模型算法。(Blind image restoration, non-blind image restoration, low rank decomposition)

MATLAB编写的增强图像分辨率的程序，可以提高图像分辨率，使图像更加清晰。(Written MATLAB program enhanced image resolution, image resolution can be improved to make the image clearer.)

基于灰度矩的亚像素边缘检测，零件边缘提取(Subpixel edge contour extraction)

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 .)

干涉合成孔径雷达成像的相位解缠的枝切法程序。(Interferometric synthetic aperture radar imaging of the phase unwrapping process of the branch-cut method.)

一个光流算法的matlab源程序，在图像处理、前景检测与跟踪等方面有很多应用，推荐(An optical flow algorithm matlab source code in image processing, the prospects for detection and tracking, etc. There are many applications, the recommendation)

mfc图像处理，实现图像的配准，自己编写，可以应用(mfc image processing, image registration)

点目标质量评估，一维积分旁瓣比、峰值旁瓣比(ISLR PSLR)

基于c5509的jpeg图像压缩实现 ，利用c语言(The jpeg image compression based c5509 achieved using c language)