dftregistration

二维线性判别 功能比较强 二维线性判别 功能比较强(Img = imread( twoObj.bmp ) )

本算法在Matlab2008b 环境下实现。包括main,san 和ssd 三个函数。 这次实现的算法并不是比较两个已经知道的点是否匹配，而是已知一个图形中的特征点，在另外一个图像中找到与其最匹配的点，匹配度用SAD 或者SSD 来度量。 main.m 是程序的入口，包括生成和读入实验数据，调用sad 函数和ssd 函数求匹配点，最后绘 制出最后的结果。sad.m 是用sad 度量方法在另一图中求解匹配点的函数实现，有3 个参数 y=sad(x,image1,image2)。其中x 是代匹配的数据，image1 是图像1 数据，image2 是图像2 数据。 从理论上分析，ssd 比sad 算法要复杂一点，经过测试，在一幅640*480 的图像中寻找10 个匹配点数据SAD 用时25.062519 秒，SSD 用时25.291432 秒。(The algorithm Matlab2008b environment to achieve. Including the main, san, and ssd three functions. The implementation of the algorithm is not the point of comparing two matches already know, but the known feature points in a graphic, an image found in the other match with the most points, matching measured with the SAD or SSD. main.m is the entry, including the generation and reading test data, call the sad ssd function evaluation functions and matching points, and finally draw the final result. sad.m measure is sad figure in another match point in the function implementation to solve, there are three parameters y = sad (x, image1, image2). Where x is the generation of matching data, image1 is the data image 1, image2 is the image 2 data. From the theoretical analysis, ssd little more complicated than the sad algorithm, tested in a 640* 480 images of 10 match points in the search for data using time 25.062519 seconds SAD, SSD with time 25.291432 seconds. )

该源程序实现了SAR图像变化检测的功能，方法是基于修正马尔科夫随机场的模糊C均值实现SAR图像的变化检测。(The source program realizes the function of SAR image change detection. The method is based on modified Markov random field fuzzy C-means to realize SAR image change detection.)

图形图像处理，混合高斯图像背景估计＆更新(Graphic image processing, mixed-Gaussian background image is estimated )

说明：  分布式合成孔径雷达成像仿真，包含像素级配准。(Distributed Simulation of synthetic aperture radar imaging, including pixel-level registration.)

matlab输入CAD图像文件，matlab中图形导入CAD，matlab与CAD互转(Matlab Input CAD Image File or graphics Import into CAD in matlab or matlab and CAD Interchange)

cbir matlab code gui, for retri image

这是本智能图像处理的书教你如何读取BMP图像二值化中值滤波还有灰度变换图像匹配，检索(This is the intelligent image processing book teaches you how to read the BMP image binarization there are gray-scale transformation in the value of the filter image matching, retrieval)

图片压缩到最小源码，例程程序结合易语言图像格式转换支持库，将快照的BMP图片转换成JPG图片，再将众多JPG图片压缩到一个压缩文件中，达到减小图片体积的效果。(Image compression to a minimum source , routine program combined image format conversion easy language support library , a snapshot of BMP images into JPG image , and then a large number of JPG images into a compressed file , to reduce the effect of image volume .)

在桌面上显示图像，C++Builder精选编程学习源码，很好的学习资料。(Image display on the desktop, C++Builder select learning programming source code, very good learning materials.)