i have 10 images in a group. i have to compare 1st image with 2nd using correlation. then i have to compare 2nd image with 3rd image. then i have to compare 3rd image with 4th . similarly it goes on till 10. how to achieve this?
MATLAB: How to compare images in a group
image comparisonImage Processing Toolbox
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I don't know how to do that, or if it's even possible. Why not just subtract the images to see which pixels are different? Do you know what correlation is? Do you know what the correlation image looks like and how to interpret the values of it? That is why I ask. Now if you have one small image and you want to consider it a template and scan a larger image to find where is exists in the larger image, then that's something different than what you asked. You can use normalized cross correlation for that, and I've attached a demo for others who are interested.
You can try this code. I used some messy dynamic field naming to do the plots. Will clean this up tomorrow, but too tired right now.
data=load('matlab_help.mat')ax1=axes('xscale','log','color','none');ax2=axes('xscale','log','ycolor','none','color','none');ax3=axes('xscale','log','ycolor','none','color','none');ax4=axes('xscale','log','ycolor','none','color','none');for j=2:4; axes(ax1);hold on plot(data.(['psWc_15_',(num2str(j))])(1:end-1,1), 0.5*cumsum((data.(['psWc_15_',(num2str(j))])(1:end-1,4)+data.(['psWc_15_',(num2str(j))])(2:end,4)).*diff(data.(['psWc_15_',(num2str(j))])(:,1))).*86400,'r'); axes(ax2);hold on plot(data.(['psWc_16_',(num2str(j))])(1:end-1,1), 0.5*cumsum((data.(['psWc_16_',(num2str(j))])(1:end-1,4)+data.(['psWc_16_',(num2str(j))])(2:end,4)).*diff(data.(['psWc_16_',(num2str(j))])(:,1))).*86400,'r'); axes(ax3);hold on plot(data.(['psWc_17_',(num2str(j))])(1:end-1,1), 0.5*cumsum((data.(['psWc_17_',(num2str(j))])(1:end-1,4)+data.(['psWc_17_',(num2str(j))])(2:end,4)).*diff(data.(['psWc_17_',(num2str(j))])(:,1))).*86400,'r'); axes(ax4);hold on plot(data.(['psWc_18_',(num2str(j))])(1:end-1,1), 0.5*cumsum((data.(['psWc_18_',(num2str(j))])(1:end-1,4)+data.(['psWc_18_',(num2str(j))])(2:end,4)).*diff(data.(['psWc_18_',(num2str(j))])(:,1))).*86400,'r');endset(ax1,'position',[.10 .2 .2 .5])set(ax2,'position',[.30 .2 .2 .5])set(ax3,'position',[.50 .2 .2 .5])set(ax4,'position',[.70 .2 .2 .5])linkaxes([ax1 ax2 ax3 ax4],'xy')h=get([ax1 ax2 ax3 ax4],'children')h=[h{:}];set(h(1,:),'color','r')set(h(2,:),'color','b')set(h(3,:),'color','k')ax5=axes('ycolor','none','color','none');hold onset(ax5,'position',[0.1 0.1 0.8 0.1])axes(ax5)t=minutes(0):minutes(1):minutes(60);t.Format='hh:mm';y=ones(size(t))plot(t,y,'color','none')xlim([minutes(0) minutes(60)])
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