How to show title and xlabel on the bottom of every image?
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Hi
I'm trying to show images with subplot in uipanel with their name and ordinal number at the bottom of the images and I am using this code:
[I,cmap] = imread('bone-17.gif');
for j=1:4
ax=subplot(2,2,j);
image(I);
colormap(ax,cmap);
axis off;
axis image;
title(img.name(j));
xlabel(ordinal_number,'FontSize',7);
end
but this displays only the title and on the top of images and xlabel isn't showen at all how can I display title and xlabel on the bottom of every image? Or is it possible with one function to do that,something like this in for loop
title(img.name(j),ordinal_number)
Thank you
0 Comments
Answers (3)
Chad Greene
on 31 Dec 2014
Edited: Chad Greene
on 31 Dec 2014
Try using text. Alternatively, there's the slightly more user-friendly ntitle available on File Exchange, but ntitle only places title inside axes. Here we do both:
I = imread('coins.png');
for k=1:4
ax=subplot(2,2,k);
imagesc(I);
colormap bone
axis off;
axis image;
switch k
case {1,2}
ntitle(['title ',num2str(k)],...
'location','north',...
'backgroundcolor','w');
ntitle(['xlabel ',num2str(k)],...
'location','south',...
'FontSize',7,...
'backgroundcolor','y');
otherwise
text(.5,1,['title ',num2str(k)],...
'horiz','center',...
'vert','bottom',...
'units','normalized')
text(.5,0,['xlabel ',num2str(k)],...
'horiz','center',...
'vert','top',...
'FontSize',7,...
'units','normalized')
end
end
3 Comments
Chad Greene
on 2 Jan 2015
Did ntitle get left in your downloads folder, or somewhere Matlab can't find it?
Image Analyst
on 1 Jan 2015
I believe it's because you turned the axis off that the labels don't show up. Why not leave them on and just set all your tick mark labels to null?
3 Comments
Image Analyst
on 1 Jan 2015
Edited: Image Analyst
on 1 Jan 2015
Doesn't this do what you want:
filename = 'kids.tif';
[indexedImage,cmap] = imread(filename);
for k = 1 : 4
ax=subplot(2,2,k);
imshow(indexedImage);
colormap(ax,cmap);
title(filename, 'FontSize', titleFontSize);
% axis off;
axis image;
ordinal_number = sprintf('Image #%d', k);
xlabel(ordinal_number, 'FontSize', axisFontSize);
ylabel('y-axis', 'FontSize', axisFontSize);
end
% Enlarge figure to full screen.
set(gcf, 'Units', 'Normalized', 'OuterPosition', [0 0 1 1]);
Shahid Ameer
on 2 Dec 2018
Edited: Chad Greene
on 4 Dec 2018
clc;
clear all;
close all;
[I,path]=uigetfile('*.jpg','select a input image');
str=strcat(path,I);
s=imread(str);
num_iter = 10;
delta_t = 1/7;
kappa = 15;
option = 2;
disp('Preprocessing image please wait . . .');
ad = anisodiff(s,num_iter,delta_t,kappa,option);
figure, subplot 121, imshow(s,[]),title('Input image'), subplot 122, imshow(ad,[]),title('After Noise Removal'),l1=30;l2=37;l3=40;l4=42;q1=53;q2=39;q3=36;q4=40;z1=26;z2=16;z3=53;z4=60;
fprintf('\nPress any key \n');
pause;
disp('classifying tumor boundary');
m = zeros(size(ad,1),size(ad,2)); %-- create initial mask
m(90:100,110:135) = 1; % main 2
ad = imresize(ad,.5); %-- make image smaller
m = imresize(m,.5); % for fast computation
figure
subplot(2,2,1); imshow(ad,[]); title('Input Image');
% bounding box start
%hold on
if(strcmp(I,'a1.jpg')||strcmp(I,'a.jpg'))
for aa=1:10
subplot(2,2,2); imshow(ad,[]);title('Locating Bounding box');
rectangle('Position',[l1 l2 l3 l4],'EdgeColor','y'); %a1
pause(0.5);
l1=l1+1;l2=l2+1;l3=l3-2;l4=l4-2;
end;
% rectangle('Position',[40 47 20 22],'EdgeColor','y'); %a1
end;
if(strcmp(I,'b1.jpg')||strcmp(I,'b.jpg'))
for aa=1:10
subplot(2,2,2); imshow(ad,[]);title('Locating Bounding box');
rectangle('Position',[q1 q2 q3 q4],'EdgeColor','y'); %a1
pause(0.5);
q1=q1+1;q2=q2+1;q3=q3-2;q4=q4-2;
end;
%rectangle('Position',[61 49 18 20],'EdgeColor','y'); %b1
end;
if(strcmp(I,'c1.jpg')||strcmp(I,'c.jpg'))
for aa=1:10
subplot(2,2,2); imshow(ad,[]);title('Locating Bounding box');
rectangle('Position',[z1 z2 z3 z4],'EdgeColor','y'); %a1
pause(0.5);
z1=z1+1;z2=z2+1;z3=z3-2;z4=z4-2;
end;
%rectangle('Position',[35 26 34 40],'EdgeColor','y'); %c1
end;
%bounding box end
subplot(2,2,3); title('Segmentation');
seg = svm(ad, m, 50); %-- Run segmentation
subplot(2,2,4); imshow(seg); title('Segmented Tumor');
%imwrite(seg,'test.jpg');
it shows SVM classifier name on classified image
i want to hide that name ?
how is it possible ??
1 Comment
Image Analyst
on 2 Dec 2018
Are you sure you posted this in the right place?
Is this your "Answer" to lolipop?
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