feat: bcp de commentaires + affichage des cercles en transparence
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Laurent Fainsin
parent
1cd414d524
commit
e7a390af90
133
TP_maillage.m
133
TP_maillage.m
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@ -43,14 +43,7 @@ im_mask(end - 5:end, :, :) = 0;
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im_mask(:, 1:5, :) = 0;
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im_mask(:, end - 30:end, :) = 0;
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% Affichage des images
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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% A COMPLETER %
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% Calculs des superpixels %
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% Conseil : afficher les germes + les régions %
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% à chaque étape / à chaque itération %
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%% Affichage de l'image que l'on souhaite segmenter
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K = 100;
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m = 0.1;
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@ -62,27 +55,14 @@ ind_img = 1;
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figure(1);
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imshow(im(:, :, :, ind_img)); title("Image " + num2str(ind_img));
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%% Calculs des superpixels
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figure(2);
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imshow(im(:, :, :, ind_img)); title("Image " + num2str(ind_img));
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hold on;
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[germes, image_labelise, E] = super_pixel(im(:, :, :, ind_img), K, m, n, seuil_E, q_max);
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% subplot(2, 2, 2); imshow(im(:, :, :, 9)); title('Image 9');
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% hold on;
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% germes = super_pixel(im(:, :, :, 9), K, m, n, q_max);
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%
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% subplot(2, 2, 3); imshow(im(:, :, :, 17)); title('Image 17');
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% hold on;
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% germes = super_pixel(im(:, :, :, 17), K, m, n, q_max);
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%
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% subplot(2, 2, 4); imshow(im(:, :, :, 25)); title('Image 25');
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% hold on;
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% germes = super_pixel(im(:, :, :, 25), K, m, n, q_max);
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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% A COMPLETER %
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% Binarisation de l'image à partir des superpixels %
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%% Binarisation de l'image à partir des superpixels
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figure(3);
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R = germes(:, 3);
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@ -90,31 +70,37 @@ B = germes(:, 5);
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scatter(R, B);
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hold on
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% définition des coefficients de la droite pour le seuillage
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a = (0.7 - 0.1) / (0.6 - 0.2);
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b = 0.1 - a * 0.2;
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% affichage de la droite (pour vérification visuelle du seuillage)
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plot([0 1], [b a + b]);
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W = a * R + b - B > 0;
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germes = [germes W];
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%%
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%% Affichage et amélioration de la binarisation
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figure(4);
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tiledlayout(2, 2, 'Padding', 'none', 'TileSpacing', 'compact');
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bw_img = reshape(germes(image_labelise, 6), size(im, 1), []);
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% affichage de l'image binarisée
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nexttile;
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imshow(bw_img);
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% calcul de la plus grande zone convexe blanche
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CC = bwconncomp(bw_img, 4);
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bw_img = zeros(size(bw_img));
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bw_img(CC.PixelIdxList{1}) = 1;
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% affichage de la plus grande zone convexe blanche
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nexttile;
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imshow(bw_img);
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% calcul des zones convexes noires
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bw_img = ~bw_img;
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CC = bwconncomp(bw_img, 4);
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@ -123,57 +109,51 @@ bw_img(CC.PixelIdxList{1}) = 1;
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bw_img = ~bw_img;
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% suppressions des zones convexes noires
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nexttile;
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imshow(bw_img);
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% affichage du masque binaire fourni sur Moodle
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bw_img = im_mask(:, :, ind_img);
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nexttile;
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imshow(bw_img);
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%% Squeletisation de l'image
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figure(5);
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tiledlayout(2, 2, 'Padding', 'none', 'TileSpacing', 'compact');
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% affichage de l'image
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nexttile;
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imshow(bw_img);
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hold on
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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% A FAIRE SI VOUS UTILISEZ LES MASQUES BINAIRES FOURNIS %
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% Chargement des masques binaires %
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% de taille nb_lignes x nb_colonnes x nb_images %
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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% affichage du contour de la binarisation
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pixel_b = find(bw_img == 1);
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[r, c] = ind2sub(size(bw_img), pixel_b(1));
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contour = bwtraceboundary(bw_img, [r c], 'W', 8);
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plot(contour(:, 2), contour(:, 1), 'g', 'LineWidth', 3);
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% r = delaunay(contour);
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% barycentres = (contour(r(:,1),:) + contour(r(:,2),:) + contour(r(:,3),:)) / 3;
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% scatter(barycentres(:,2), barycentres(:,1));
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% % triplot(r, contour(:,2), contour(:,1));
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T = 1;
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% affichage du diagramme de voronoi du contour
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T = 10; % échantillonage du contour matlab
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[vx, vy] = voronoi(contour(1:T:end, 1), contour(1:T:end, 2));
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plot(vy, vx, 'b');
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% Selection des segments qui ont leurs extrémités dans l'image
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ok = vx(1, :) > 1 & vx(1, :) < size(bw_img, 1) & ...
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vx(2, :) > 1 & vx(2, :) < size(bw_img, 1) & ...
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vx(2, :) > 1 & vx(2, :) < size(bw_img, 1) & ...
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vy(1, :) > 1 & vy(1, :) < size(bw_img, 2) & ...
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vy(2, :) > 1 & vy(2, :) < size(bw_img, 2);
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vx = floor(vx(:, ok));
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vy = floor(vy(:, ok));
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% subplot(2,2,2);
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% affichage des points de voronoi visibles
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nexttile;
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imshow(bw_img);
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hold on
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plot(vy, vx, 'b');
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% Selection des segments avec les extremités dans la forme
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% selection des segments avec les extremités dans la forme
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ind1 = sub2ind(size(bw_img), vx(1, :), vy(1, :));
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ok1 = bw_img(ind1) > 0;
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@ -184,13 +164,12 @@ ok = ok1 & ok2;
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vx = vx(:, ok);
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vy = vy(:, ok);
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% subplot(2,2,3);
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% affichage des points de voronoi uniquement dans la forme binaire
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nexttile;
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imshow(bw_img);
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hold on
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plot(vy, vx, 'b');
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% Remise en forme de vx et vy
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% mise en forme de vx et vy pour les prochains calculs
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vx_ = vx';
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vx_ = [vx_(:, 1); vx_(:, 2)];
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@ -199,24 +178,22 @@ vy_ = [vy_(:, 1); vy_(:, 2)];
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V_ = [vx_ vy_];
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% Calcule des rayons
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% calcul des rayons des points de voronoi au contour
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contour_ = contour';
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R = complex(V_(:, 1), V_(:, 2)) - complex(contour_(1, :), contour_(2, :));
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R = abs(R);
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R = min(R, [], 2);
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R = R';
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% affichage des cercles
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vx_vy = [vy(1, :) vy(2, :); vx(1, :) vx(2, :)]';
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viscircles(vx_vy(1:1:end, :), R(1:1:end));
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T = 1;
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viscircles(vx_vy(1:T:end, :), R(1:T:end), 'Color',[0 1 0 0.3]);
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% Filtrage naif
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% truc = find(R < 20);
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% truc = mod(truc - 1, length(vx)) + 1;
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%
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% vx(:,truc) = [];
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% vy(:,truc) = [];
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% affichage du squellette
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plot(vy, vx, 'b');
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% Filtrage scalaire
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% Scale Axis Transform
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R_scaled = 1.05 * R;
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dist = abs(complex(V_(:, 1), V_(:, 2)) - transpose(complex(V_(:, 1), V_(:, 2))));
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@ -233,30 +210,16 @@ R = [R(1:length(R) / 2); R(length(R) / 2 + 1:end)];
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R(:, mod(c - 1, length(R)) + 1) = [];
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R = [R(1, :) R(2, :)];
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% subplot(2,2,4);
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% affichage du squelette filtré par SAT
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nexttile;
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imshow(bw_img);
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hold on
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plot(vy, vx, 'b');
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vx_vy = [vy(1, :) vy(2, :); vx(1, :) vx(2, :)]';
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viscircles(vx_vy(1:1:end, :), R(1:1:end));
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viscircles(vx_vy(1:T:end, :), R(1:T:end), 'Color',[0 1 0 0.3]);
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plot(vy, vx, 'b');
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%%
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%% Reconstruction des points 3D
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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% A DECOMMENTER ET COMPLETER %
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% quand vous aurez les images segmentées %
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% Affichage des masques associes %
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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% Affichage des masques associes
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% figure;
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% subplot(2,2,1); ... ; title('Masque image 1');
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% subplot(2,2,2); ... ; title('Masque image 9');
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% subplot(2,2,3); ... ; title('Masque image 17');
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% subplot(2,2,4); ... ; title('Masque image 25');
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% Reconstruction des points 3D
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X = []; % Contient les coordonnees des points en 3D
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color = []; % Contient la couleur associee
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% Pour chaque coupple de points apparies
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@ -287,7 +250,6 @@ end;
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fprintf('Calcul des points 3D termine : %d points trouves. \n', size(X, 2));
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%affichage du nuage de points 3D
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figure(6);
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hold on;
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@ -298,17 +260,16 @@ end;
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axis equal;
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view(80, -10);
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% A COMPLETER
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% Tetraedrisation de Delaunay
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T = delaunayTriangulation(X(1, :)', X(2, :)', X(3, :)');
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%% Tetraedrisation de Delaunay
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T = delaunayTriangulation(X(1, :)', X(2, :)', X(3, :)');
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fprintf('Tetraedrisation terminee : %d tetraedres trouves. \n',size(T,1));
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% A DECOMMENTER POUR AFFICHER LE MAILLAGE
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% fprintf('Tetraedrisation terminee : %d tetraedres trouves. \n',size(T,1));
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% Affichage de la tetraedrisation de Delaunay
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% figure;
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% figure(7);
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% tetramesh(T);
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% A DECOMMENTER ET A COMPLETER
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%% Filtrage de la tetraedrisation de Delaunay
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% Calcul des barycentres de chacun des tetraedres
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poids = [1 1 1 1] / 4;
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@ -321,8 +282,6 @@ for i = 1:size(T, 1)
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C_g(4, i) = 1;
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end
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% A DECOMMENTER POUR VERIFICATION
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% A RE-COMMENTER UNE FOIS LA VERIFICATION FAITE
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% Visualisation pour vérifier le bon calcul des barycentres
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% for i = 1:nb_images
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% for k = 1:nb_barycentres
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@ -336,7 +295,6 @@ end
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% end
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% end
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% A DECOMMENTER ET A COMPLETER
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% Copie de la triangulation pour pouvoir supprimer des tetraedres
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tri = T.ConnectivityList;
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% Retrait des tetraedres dont au moins un des barycentres
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@ -370,12 +328,13 @@ end
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triBis = tri(to_save, :);
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nb_barycentres = length(to_save);
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% A DECOMMENTER POUR AFFICHER LE MAILLAGE RESULTAT
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% Affichage des tetraedres restants
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fprintf('Retrait des tetraedres exterieurs a la forme 3D termine : %d tetraedres restants. \n', size(T, 1));
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figure(7);
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figure(8);
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tetramesh(triBis, T.Points);
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view(80, -10);
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% Sauvegarde des donnees
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save donnees;
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