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30 lines
1.1 KiB
Matlab
30 lines
1.1 KiB
Matlab
function V1_feature_category
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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,2);
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trials=1;
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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,[50,-10]);
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[I{2},ycoord{2},xcoord{2}]=image_popout(gridsize,barlen,barwid,spacing,[50,-50]);
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[I{3},ycoord{3},xcoord{3}]=image_popout_alt(gridsize,barlen,barwid,spacing,[-10,-50,50]);
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[I{4},ycoord{4},xcoord{4}]=image_popout_alt(gridsize,barlen,barwid,spacing,[-10,-70,30]);
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%[I{3},ycoord{3},xcoord{3}]=image_popout_alt(gridsize,barlen,barwid,spacing,[-10,50,-50]);
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%[I{4},ycoord{4},xcoord{4}]=image_popout_alt(gridsize,barlen,barwid,spacing,[-10,30,-70]);
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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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