DIC-of-surface-fitting-method

说明：  这个文件包含一个matlab代码，它用来识别不同的水果，是根据冈萨雷斯那本书开发出来的！(This file contains a matlab code, it is used to identify different fruits, is based on the book Gonzalez developed!)

drfi图像显著性检测算法源码,基本上是目前表现最好的算法，需要m和c混合编程(source code of DRFI model)

说明：  基于随机游走的图像分割算法，传统的随机游走算法实现图像分割(Image segmentation algorithm based on random walk)

用于分别从四个方向提取图形图像的纹理特征(For texture feature graphic images were extracted four directions)

利用四参数随机生成法生成三维多孔介质，以研究黏土、页岩等的微观流动机制(Using QSGS to construct 3D porous media)

基于kscd算法的合成孔径雷达图像压缩。(Based on kscd algorithm synthetic aperture radar (SAR) image compression.)

通过GDAL读取常用遥感影像，如img，tiff，可实现读取显示和雷达影像处理的一些基本算法(Read through GDAL common remote sensing images, such as img, tiff, read the display and radar can achieve some of the basic image processing algorithms)

用opencv实现对一幅图像的小波变换 opencv 图像二维小波变换(The wavelet transform of an image with opencv)

opencv图像处理程序，关于squares提取算法C语言实现(opencv image-processing program, About squares extraction algorithm C language)

sift算法在cv领域的重要性不言而喻，该作者的文章引用率在cv界是number1.本篇博客只是本人把sift算法知识点整理了下，以免忘记。本文比较早的一篇博文opencv源码解析之(3)：特征点检查前言1 中有使用opencv自带的sift做了个简单的实验，而这次主要是利用Rob Hess的sift源码来做实验，其实现在的opencv版本中带的sift算法也是Rob Hess的，只是稍微包装了下。 下面来做下试验,试验sift代码采用Rob Hess的代码，opencv目前版本中的sift源码也是采用Rob Hess的。代码可以在他的主页上下载：http://blogs.oregonstate.edu/hess/code/sift/ 这里我下载的是windows版本的，并采用Qt做了个简单的界面。(sift algorithm is self-evident the importance of the cv field, the author of the article referenced in the cv sector is number1 this blog I just sift algorithm knowledge compiled under, so as not to forget. This article compares the earlier blog post opencv source code analysis (3): check the preface of the feature points 1 the opencv bring their own sift to do a simple experiment, but this time Rob Hess' s sift source to experiment. In fact, with the opencv version sift algorithm is Rob Hess, only slightly packing the next. Below to do the next test, test sift code using the code of Rob Hess, sift source opencv version of Rob Hess. The code can be downloaded on his home page: http://blogs.oregonstate.edu/hess/code/sift/ here I downloaded the windows version, and using Qt to do a simple interface.)