登录
首页 » matlab » Similarity_Measure

Similarity_Measure

于 2009-09-25 发布 文件大小:1KB
0 162
下载积分: 1 下载次数: 50

代码说明:

   Similarity_Measure Image similarity measure [sm_SSD , sm_SAD , sm_NCC ] = Similarity_Measure(im1, im2, c1, c2, w) INDEX: Similarity_Measure.m Similarity_SSD.m Similarity_SAD.m Similarity_NCC.m

文件列表:

Similarity_Measure
..................\Similarity_Measure.m
..................\Similarity_NCC.m
..................\Similarity_SAD.m
..................\Similarity_SSD.m

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • proj10-01
    在试验中编写程序实现了K均值聚类算法,K均值聚类的原理是:在训练样本中找到C个聚类中心,每个聚类中心代表一个类的中心。然后将样本归类到与其最近的聚类中心的那一类。 C的选择是通过先验知识或经验选取的。聚类中心是通过算法迭代求得的。(In the test preparation process to achieve a K means clustering algorithm, K means clustering principle is: in the training samples to find C a cluster center, each cluster center represents a kind of center. Then the samples are classified to the nearest cluster center with the type. C' s choice is a priori knowledge or experience through the selected. Cluster center is obtained through the iterative algorithm.)
    2010-08-28 19:42:53下载
    积分:1
  • IMF1
    我自己做的一个EMD的算法,大家可以下载参考(I have do an EMD algorithm, everyone can download it)
    2009-04-01 11:05:32下载
    积分:1
  • rengongmianyi
    a=load( q.txt ) width=input( 请输入窗宽 ) step=input( 请输入步长 ) m=length(a) for i=1:floor((m-width)/step+1) s(i,1:width)=a(1,1+(i-1)*step:width+(i-1)*step) end b=max(max(s)) M=s./b Rs=input( 请输入本体集半径 ) nd=input( 请输入检测器数模 ) k=1 while k<=nd d{k}=rand(1,width) for i=1:floor((m-width)/step+1) if (norm(d{k}-s(i,:)))^2<Rs break end end k=k+1 end for j=1:nd for i=1:floor((m-width)/step+1) R(i)=(norm(d{j}-s(i,:)))^2(a = load (' q.txt' ) width = input (' Please enter the window width' ) step = input (' Enter step size' ) m = length (a) for i = 1: floor ((m-width)/step+1) s (i, 1: width) = a (1,1+ (i-1)* step: width+ (i-1)* step) end b = max (max (s)) M = s./b Rs = input (' Please enter the body set radius' ) nd = input (' Please enter the number of detector modules' ) k = 1 while k < = nd d {k} = rand (1, width) for i = 1: floor ((m-width)/step+1) if (norm (d {k}-s (i ,:)))^ 2 <Rs break end end k=k+1 end for j=1:nd for i=1:floor((m-width)/step+1) R(i)=(norm(d{j}-s(i,:)))^2)
    2011-05-21 16:46:49下载
    积分:1
  • DTMF
    用MATLAB仿真DTMF,分为生成和检测两个部分(use MATLAB to simulate the DTMF including generation and detection)
    2013-11-27 22:15:55下载
    积分:1
  • ~6Book_MATLAB+simulink
    电子通信系统的建模与仿真 第6章 信号处理 6.1 MATLAB的数据可视化表达 6.2 MATLAB仿真中的信号处理 6.3 信号特征参数的计算 6.4 信号的频谱分析? 6.5 线性系统 6.6 数字滤波器设计与实现 (Electronic communications system modeling and simulation of signal processing Chapter 6 of the 6.1 MATLAB data visualization Expression 6.2 MATLAB simulation of signal processing 6.3 signal characteristic parameters for calculating the spectrum analyzer 6.4 signal ? 6.5 Linear Systems 6.6 Digital Filter Design and realize)
    2008-07-27 21:48:28下载
    积分:1
  • MATLAB
    C语言与MATLAB接口:编程与实例,实现接口Matlab与C语言编程互换(C language and MATLAB interfaces: programming with examples, the interface with Matlab and C programming language swap)
    2012-05-28 06:16:25下载
    积分:1
  • MATLAB-SIMULINK
    MATLAB SIMULINK与控制系统仿真 王正林等编着(MATLAB/SIMULINK and control system)
    2011-05-23 15:00:38下载
    积分:1
  • afingerprintprogramusingmatlab
    a fingerprint program using matlab(a fingerprint program using Matlab)
    2007-04-24 11:18:09下载
    积分:1
  • Fuzzyclustering
    模糊聚类;涉及事物之间的模糊界限时按一定要求对事物进行分类的数学方法。聚类分析是数理统计中的一种多元分析方法,它是用数学方法定量地确定样本的亲疏关系,从而客观地划分类型。事物之间的界限,有些是确切的,有些则是模糊的。例如人群中的面貌相像程度之间的界限是模糊的,天气阴、晴之间的界限也是模糊的。当聚类涉及事物之间的模糊界限时,需运用模糊聚类分析方法。模糊聚类分析广泛应用在气象预报、地质、农业、林业等方面。通常把被聚类的事物称为样本,将被聚类的一组事物称为样本集。模糊聚类分析有两种基本方法:系统聚类法和逐步聚类法。 (Fuzzy clustering )
    2009-10-19 11:10:01下载
    积分:1
  • MUSIC_Example
    This is an example of Music algorithm
    2011-06-23 11:58:12下载
    积分:1
  • 696518资源总数
  • 105665会员总数
  • 6今日下载