matlab利用相似度对心电图进行分类诊断

clc;clear;close all; img=imread('2.png'); I=rgb2gray(img); [c1,n]=imhist(I); resizeI=imresize(I,[160,160],'nearest'); subplot(121) imshow(resizeI) title('被测图片') files = dir('E:\Matlablist\code\图片相似度\心电图素材'); names = files(3:length(files)); sim=cell(length(names),2); for i=2:length(names) a=dir([names(i).folder '\' names(i).name]); a = a(3:length(a)); for j=1:length(a) img2=imread([a(j).folder '\' a(j).name]); I2=rgb2gray(img2); resizeI2=imresize(I2,[160,160],'nearest'); sim{i,1}=names(i).name; c1=c1/size(resizeI,1)/size(resizeI,2); [c2,n2]=imhist(resizeI2); c2=c2/size(resizeI2,1)/size(resizeI2,2); d=pdist2(c1',c2'); %ssim(resizeI,resizeI2) sim{i,2}=[sim{i,2} d]; end end sim=sim(2:end,:); index=[]; p=0; for i=1:length(sim) if max(sim{i,2})>p [p val]=max(sim{i,2}); index=sim{i,1}; end end files = dir(['E:\Matlablist\code\图片相似度\心电图素材' '\' index]); subplot(122) im=files(3:end); im=imread([im(val).folder '\' im(val).name]); im=rgb2gray(im); im=imresize(im,[160,160],'nearest'); imshow(im) title('数据库图片') disp('输入图片属于') index disp('相似度为') p