67 lines
1.5 KiB
Mathematica
67 lines
1.5 KiB
Mathematica
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clear;
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close all;
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couleurs_classes = [0 0.1250 1.0 ; 0.1750 1.0 0.2250 ; 1.0 1.0 0 ; 1.0 0.3750 0 ; 0.85 0 0 ; 0.5 0 0.3 ; 0.5 0.5 0.1 ; 0.5 0.5 0.1 ; 0.5 0.5 0.1 ; 0.5 0.5 0.1 ; 0.5 0.5 0.1];
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% Dimensions de l'image :
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nb_lignes = 100;
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nb_colonnes = 100;
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% Param<EFBFBD>tres des lois normales :
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mu_1 = 40;
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sigma_1 = 18;
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mu_2 = 100;
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sigma_2 = 18;
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mu_3 = 160;
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sigma_3 = 18;
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mu_4 = 220;
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sigma_4 = 18;
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% Premier segment (fond de l'image) :
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I = mu_1+sigma_1*randn(nb_lignes,nb_colonnes);
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I = max(0,I);
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I = min(I,255);
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k_exact = ones(nb_lignes,nb_colonnes);
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% Deuxi<EFBFBD>me segment (disque) :
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for i = 1:nb_lignes
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for j = 1:nb_colonnes
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if (i-30)^2+(j-30)^2<600
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I(i,j) = mu_2+sigma_2*randn;
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k_exact(i,j) = 2;
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end
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end
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end
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% Troisi<EFBFBD>me segment (carr<EFBFBD>) :
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for i = 1:nb_lignes
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for j = 1:nb_colonnes
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if abs(i-60)<20 & abs(j-40)<20
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I(i,j) = mu_3+sigma_3*randn;
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k_exact(i,j) = 3;
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end
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end
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end
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% Quatri<EFBFBD>me segment (ellipse) :
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for i = 1:nb_lignes
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for j = 1:nb_colonnes
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if (i-50)^2+5*(j-70)^2+3*(i-50)*(j-70)<32^2
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I(i,j) = mu_4+sigma_4*randn;
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k_exact(i,j) = 4;
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end
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end
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end
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% Affichage de l'image :
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% figure('Name',['Segmentation par classification'], 'visible', 'off');
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figure('Name',['Segmentation par classification']);
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% set (gca,'Position',[0 0 1 1]);
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imagesc(I);
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% title('Image a segmenter');
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colormap gray;
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axis off;
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axis equal;
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% imwrite(rgb2gray(repmat(I, [1 1 3])), "saves/image_BW.png", 'png');
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imwrite(uint8(I), "saves/image_BW.png")
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