ENSEEIHT/TP-modelisation-images
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feat: ajout de titres et labels sur les figures

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Laurent Fainsin 2022-04-06 23:38:34 +02:00
parent ba64881f6a
commit 7a46854a41
2 changed files with 15 additions and 2 deletions
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16
TP_maillage.m
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@ -53,12 +53,14 @@ q_max = 5;
ind_img = 1;
figure(1);
imshow(im(:, :, :, ind_img)); title("Image " + num2str(ind_img));
imshow(im(:, :, :, ind_img));
title("Image " + num2str(ind_img));
%% Calculs des superpixels
figure(2);
imshow(im(:, :, :, ind_img)); title("Image " + num2str(ind_img));
imshow(im(:, :, :, ind_img));
title("Image " + num2str(ind_img));
hold on;
[germes, image_labelise, E] = super_pixel(im(:, :, :, ind_img), K, m, n, seuil_E, q_max);
@ -68,6 +70,8 @@ figure(3);
R = germes(:, 3);
B = germes(:, 5);
scatter(R, B);
xlabel("rouge");
ylabel("bleu");
hold on
% définition des coefficients de la droite pour le seuillage
@ -90,6 +94,7 @@ bw_img = reshape(germes(image_labelise, 6), size(im, 1), []);
% affichage de l'image binarisée
nexttile;
imshow(bw_img);
title("binarisation");
% calcul de la plus grande zone convexe blanche
CC = bwconncomp(bw_img, 4);
@ -99,6 +104,7 @@ bw_img(CC.PixelIdxList{1}) = 1;
% affichage de la plus grande zone convexe blanche
nexttile;
imshow(bw_img);
title("convexité blanche");
% calcul des zones convexes noires
bw_img = ~bw_img;
@ -112,11 +118,13 @@ bw_img = ~bw_img;
% suppressions des zones convexes noires
nexttile;
imshow(bw_img);
title("convexité noire");
% affichage du masque binaire fourni sur Moodle
bw_img = im_mask(:, :, ind_img);
nexttile;
imshow(bw_img);
title("masque Moodle");
%% Squeletisation de l'image
@ -127,6 +135,7 @@ tiledlayout(2, 2, 'Padding', 'none', 'TileSpacing', 'compact');
nexttile;
imshow(bw_img);
hold on
title("contour + voronoi");
% affichage du contour de la binarisation
pixel_b = find(bw_img == 1);
@ -152,6 +161,7 @@ nexttile;
imshow(bw_img);
hold on
plot(vy, vx, 'b');
title("voronoi visible dans l'image");
% selection des segments avec les extremités dans la forme
ind1 = sub2ind(size(bw_img), vx(1, :), vy(1, :));
@ -168,6 +178,7 @@ vy = vy(:, ok);
nexttile;
imshow(bw_img);
hold on
title("voronoi dans le masque");
% mise en forme de vx et vy pour les prochains calculs
vx_ = vx';
@ -217,6 +228,7 @@ hold on
vx_vy = [vy(1, :) vy(2, :); vx(1, :) vx(2, :)]';
viscircles(vx_vy(1:T:end, :), R(1:T:end), 'Color', [0 1 0 0.3]);
plot(vy, vx, 'b');
title("filtrage SAT");
%% Reconstruction des points 3D

1
super_pixel.m
View file

@ -118,6 +118,7 @@ function [germes, img_labelise, E] = super_pixel(img, K, m, n, seuil_E, q_max)
image(img_labelise * 255 / length(germes));
colormap hsv;
drawnow nocallbacks
title("itération " + num2str(q) + "/" + num2str(q_max));
old_germes = germes;