range_image_border_extraction

这个压缩包中包含了巴特沃斯滤波算法的高通和低通两款代码，同时还有几篇巴特沃斯算法的文章，记录了关于巴特沃斯算法的一些应用领域。(This compressed package contains the code of two of the high-pass and low-pass Butterworth filter algorithm, at the same time, there are few Butterworth algorithm articles recorded Butterworth algorithm applications.)

实现对图像的经验模态分解，得到经验模态分解后的第一层IMF分量，反映了图像的主要信息，去除冗余信息，为识别提供了基础。(Empirical mode decomposition of image, obtain the empirical mode decomposition of the first layer of IMF component, reflected the main information of the image, to remove redundant information, provide the basis for identification. )

利用gabor滤波器来进行人脸图像的处理，内部并包含多张测试图像(Gabor filter to use a face image processing, internal testing and contains multiple images)

c++实现的sift，可以分步观看实现效果(c++ implementation of the sift, you can watch step by step to achieve results)

利用R语言编程实现高光谱遥感的随机森林分类(Random Forest Classification Based on Hyperspectral Remote Sensing Using R Language Programming)

说明：  使用PCA将数据集降维，降维后将特征脸还原(Use PCA to reduce the dimension of the data set, reduce the feature face after dimension reduction)

调频连续波双站SAR成像源代码，采用matlab编写(the code of FMCW BiSAR imaging)

1 完成图象处理的基本功能2：二值化、边缘检测、滤波。 2 熟悉dc的部分常用功能，学习图标控制弹出框。(a complete image processing of the two basic functions : values, edge detection, filtering. 2 familiar with the dc part of the commonly used function, learning to control pop icon frame.)

基于互信息的分层金字塔的图像配准算法，互信息的加入让信息更丰富，精度更高(Image registration algorithm based on hierarchical pyramid of mutual information, mutual information is added to make information more abundant and higher precision)

包括图像输入（打开文件、采集、捕捉图像、从剪贴板粘贴、打开扫描软件、灰度化、添加随机噪声、椒盐噪声、去噪声）、图像处理（几何变换、灰度反转、直方图均衡化、直方图统计、图像复原、边缘提取、伪彩色、二值化、图像变换）、图像输出（另存图像、打印输出、复制到剪贴板）(Including image input (open the file, capture, capture images, paste from the clipboard, open the scanning software, graying, adding random noise, Salt and pepper noise, to noise), image processing (geometric transformation, gray inversion, histogram equalization oriented, histogram statistics, image restoration, edge extraction, pseudo-color, binary, image transform), image output (save the image, print out, copy to clipboard))