matlab_finger

harris, harris-laplace方法，特征点检测方法总结(harris, harris-laplace method, Feature Point Detection Methods)

CxImage是一款免费的、开源的、功能强大的图形处理库。 跨平台，支持windows、linux等；支持BMP、GIF、ICO、TGA、JPEG、PCX、PNG、TIFF、MNG、RAS等多种图像格式；支持格式转换、图像处理、几何变换等；最重要的是使用非常简单。此为VC6修正版(CxImage is a C++ image processing library. It can load, save, display, transform images in a very simple and fast way, with transparency, multiple layers and selections, support for BMP GIF JPG PNG MNG TIF ICO TGA PCX J2K JBG RAS PNM RAW PSD.)

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. )

Pacote com icones do Help do Windows

牛顿环的干涉条纹，灰度图，含有反射图样和透射图样(Newton' s rings interference fringes, grayscale, with reflection and transmission pattern pattern)

new edge-directed interpolation这篇文章所提算法的matlab实现(new edge-directed interpolation algorithm in this article referred to realize matlab)

用MATLAB编写的灰度共生矩阵程序代码(matlab gravt level co-occurence matrix)

本程序的作用，完成了一种图像的DDE算法，数字图像细节增强。(The role of this procedure, the completion of an image of the DDE algorithm, digital image detail enhancement.)

基于EM-马尔科夫随机场-ICM的图像分割程序，很好的学习代码(EM-based Markov random-ICM image segmentation procedures, good learning code)

基于对BEMD和BEEMD的改进算法-CBEEMD算法实现(An Improved Algorithm Based on BEMD and BEEMD- Implementation of CBEEMD Algorithm)