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32 lines
1.2 KiB
Matlab
32 lines
1.2 KiB
Matlab
function V1_feature_efficiency
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[imsizefac,crop,max_radius]=common_param_values;
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%DEFINE TEST IMAGES
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[barlen,barwid,spacing,gridsize]=standard_image_param_values(imsizefac,crop,1);
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trials=20;
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target_ang=45;
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for trial=1:trials
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trial
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%CREATE IMAGES
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[I{1},ycoord{1},xcoord{1}]=image_popout(gridsize,barlen,barwid,spacing,[target_ang,target_ang-90]);
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[I{2},ycoord{2},xcoord{2}]=image_popout(gridsize,barlen,barwid,spacing,[target_ang,target_ang-15]);
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[I{3},ycoord{3},xcoord{3}]=image_popout(gridsize,barlen,barwid,spacing,[target_ang,target_ang-30],[0.5,0.5],0.5,0,15);
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[I{4},ycoord{4},xcoord{4}]=image_popout(gridsize,barlen,barwid,spacing,[target_ang,target_ang-30],[0.5,0.5],0.5,0,0,0.5);
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[I{5},ycoord{5},xcoord{5}]=image_popout_dualdist(gridsize,barlen,barwid,spacing,[target_ang,target_ang-20,target_ang+20]);
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[I{6},ycoord{6},xcoord{6}]=image_feature_conj(gridsize,barlen,barwid,spacing,[45,0,90,-45]);
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for test=1:length(I)
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cent_radius{test}=min(ceil(0.5*barlen+spacing),max_radius);
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end
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%PERFORM EXPERIMENT AND PLOT RESULTS
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saliency_index(:,trial)=...
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perform_V1_saliency_experiment(I,cent_radius,ycoord,xcoord);
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end
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if trials>1
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saliency_index=mean(saliency_index')';
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end
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plot_saliency_histogram(I,saliency_index);
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