ransetideshuliangtongji

基于差值的可逆水印算法源码，及详解说明。还包括一篇英文论文和该作者的一些理解和解释，希望对大家有帮助(Reversible watermarking algorithm based on difference of source code, and the Detailed Description. Also includes an English papers and some of the author' s understanding and interpretation, we hope to help)

关于遥感影像分类和变化检测的一本外文数据，其特色在于用IDL实现了很多经典算法，很值得借鉴！(Foreign language data on a remote sensing image classification and change detection, which feature IDL achieve many classical algorithm, it is worth learning!)

多样性密度算法,EM-DD算法,最好的多示例学习算法之一,MATLAB实现.(Diverse density algorithm, EM-DD algorithm, one of the best multi-instance learning algorithm, MATLAB.)

可以将256色度级的图像转化为灰度图象，挺值得新手学习一下的，希望大家能喜欢(256 chroma level images can be converted to grayscale images, very worth novice to learn about, and I hope you like)

说明：  SAD立体匹配程序，附带测试图像.立体匹配学习的好内容。(SAD stereo matching process, attached to the test image. Stereo Matching learn the content.)

色彩空间转换，支持RGB, YUV, HSV, HSL, Lab, Luv等格式(Color space conversion, support for RGB, YUV, HSV, HSL, Lab, Luv, etc. formats)

粒子滤波算法实现目标定位的程序，matlab(Particle filter algorithm targeting program)

利用多尺度高斯函数去除场景的光照分量；然后构造了一种二维伽马函数，利用光照分量的分布特性调整二维伽马函数的参数，降低光照过强区域的亮度值，提高光照过暗区域的亮度值，最终实现对光照不均匀图像的自适应校正处理。(The multi scale Gauss function is used to remove the illumination component of the scene, and then a two-dimensional gamma function is constructed. The parameters of the two-dimensional gamma function are adjusted by the distribution characteristics of the illumination component, the brightness value of the light illuminated region is reduced and the brightness value of the light dark area is improved. Finally, the adaptive correction of the uneven illumination image is realized. Positive treatment.)

压缩文件中的代码可以读取图片并计算绿色植被的归一化植被指数，直接在IDL中打开即可使用(The code in the compressed file can read pictures and calculate the normalized vegetation index of green vegetation,and you can open it directly in IDL and use it.)

提取目标各种特征，图像处理，目标几何特征，纹理特征等(Extract various features, image processing, target geometric features, texture features, etc.)