cropping manually and automatic using matlab

3 visualizaciones (últimos 30 días)
shara
shara el 6 de Jul. de 2012
i want to seperate every scene in the comic, but the problem is not all of the scene are rectangle and there are so many details.
can u guys tell me the way to cropping manually or automatic after edge detection? and what the first thing i have to do before edge detection?
thanks..
  6 comentarios
shara
shara el 7 de Jul. de 2012
then i'm gonna change the image, what about this http://imageshack.us/f/13/hiltunenpetri.gif/ there's a dialog that's not fully in the box..
Image Analyst
Image Analyst el 7 de Jul. de 2012
Yes. that would make them connected but you can try to do imopen() to break that connection.

Iniciar sesión para comentar.

Respuestas (3)

Image Analyst
Image Analyst el 8 de Jul. de 2012
Editada: Image Analyst el 8 de Jul. de 2012
Do you still need the manual method? I'd use rbbox or imrect - see the help for examples. For the automatic one, I probably did too much for you, but here is the code for the "depressingcomic" image.
% function to crop out panels of a cartoon/comic.
clc;
clearvars;
close all;
workspace;
fontSize = 14;
% Read in a standard MATLAB color demo image.
folder = 'C:\Users\shara\Documents\Temporary';
baseFileName = 'depressingcomicweek3cya.jpg';
fullFileName = fullfile(folder, baseFileName);
% Get the full filename, with path prepended.
fullFileName = fullfile(folder, baseFileName);
if ~exist(fullFileName, 'file')
% Didn't find it there. Check the search path for it.
fullFileName = baseFileName; % No path this time.
if ~exist(fullFileName, 'file')
% Still didn't find it. Alert user.
errorMessage = sprintf('Error: %s does not exist.', fullFileName);
uiwait(warndlg(errorMessage));
return;
end
end
rgbImage = imread(fullFileName);
% Get the dimensions of the image. numberOfColorBands should be = 3.
[rows columns numberOfColorBands] = size(rgbImage);
% Display the original color image.
subplot(2, 3, 1);
imshow(rgbImage);
title('Original Color Image', 'FontSize', fontSize);
% Enlarge figure to full screen.
set(gcf, 'units','normalized','outerposition',[0 0 1 1]);
% Erase copyright.
rgbImage(552:end, 202:430, :) = 255;
% Erase title.
rgbImage(1:25, :, :) = 255;
% Display the color image.
subplot(2, 3, 2);
imshow(rgbImage);
title('Copyright and Title Erased', 'FontSize', fontSize);
% Binarize to find black pixels
% Find where either red, green, or blue channel is dark.
thresholdValue = 55;
binaryImage = rgbImage(:,:, 1) < thresholdValue | rgbImage(:,:, 2) < thresholdValue | rgbImage(:,:, 3) < thresholdValue;
% Display the image.
subplot(2, 3, 3);
imshow(binaryImage);
title('Binary Image', 'FontSize', fontSize);
% Fill the image
filledImage = imfill(binaryImage, 'holes');
% Display the image.
subplot(2, 3, 4);
imshow(filledImage);
title('Filled Binary Image', 'FontSize', fontSize);
drawnow;
% Label the image - find connected components.
[labeledImage numberOfBlobs] = bwlabel(filledImage);
% Get bounding boxes for all the regions.
measurements = regionprops(labeledImage, 'BoundingBox');
% Create colors for all the boxes.
boxColors = lines(numberOfBlobs);
% Fill in the bounding boxes to mask the "broken" panels.
for k = 1 : numberOfBlobs
x1 = measurements(k).BoundingBox(1);
y1 = measurements(k).BoundingBox(2);
width = measurements(k).BoundingBox(3);
height = measurements(k).BoundingBox(4);
x2 = x1 + width;
y2 = y1 + height;
% Plot the boxes in different colors in a separate subplot.
subplot(2, 3, 5);
hold on;
set(gca, 'ydir', 'reverse');
thisColor = boxColors(k, :);
rectangle('Position', [x1 y1 width height], 'EdgeColor', thisColor);
drawnow;
title('All the Bounding Boxes', 'FontSize', fontSize);
x1 = ceil(x1); % Get rid of the 0.5
y1 = ceil(y1); % Get rid of the 0.5
x2 = floor(x2); % Get rid of the 0.5
y2 = floor(y2); % Get rid of the 0.5
filledImage(y1:y2, x1:x2) = true;
% Display the image.
subplot(2, 3, 6);
imshow(filledImage);
title('Filled Binary Image', 'FontSize', fontSize);
end
% Call bwlabel again. This time there shoudl be 5 objects.
[labeledImage numberOfBlobs] = bwlabel(filledImage);
% Get bounding boxes for all the regions.
measurements = regionprops(labeledImage, 'BoundingBox');
% Inform user.
message = sprintf('We have now found the %d panels.\nNow we will crop them out', numberOfBlobs);
uiwait(msgbox(message));
% Create a new figure for this.
figure;
% Enlarge figure to full screen.
set(gcf, 'units','normalized','outerposition',[0 0 1 1]);
% Crop out the individual panels.
for k = 1 : numberOfBlobs
x1 = measurements(k).BoundingBox(1);
y1 = measurements(k).BoundingBox(2);
width = measurements(k).BoundingBox(3);
height = measurements(k).BoundingBox(4);
subImage = imcrop(rgbImage, [x1 y1 width height]);
% Display the image.
subplot(2, 3, k);
imshow(subImage);
caption = sprintf('Panel #%d', k);
title(caption, 'FontSize', fontSize);
if k < numberOfBlobs
message = sprintf('That was panel #%d.\nDo you want to continue and show panel #%d?', k, k+1);
% Inform user - allow to bail out if desired.
button = questdlg(message, 'Continue?', 'Yes', 'No', 'Yes');
drawnow; % Refresh screen to get rid of dialog box remnants.
if strcmpi(button, 'No')
break;
end
end
end
msgbox('Thank you ImageAnalyst!');
  13 comentarios
Image Analyst
Image Analyst el 30 de Jul. de 2012
I don't know, especially without seeing the line of code it refers to. Why don't you set a breakpoint there and look at the values of all the indexes on that line, as well as the size of the array. That will tell you which index is out of range.
shara
shara el 30 de Jul. de 2012
ok i'll try it out

Iniciar sesión para comentar.


Image Analyst
Image Analyst el 7 de Jul. de 2012
Just crop it.
width = col1 - col2 + 1;
height = row2 - row1 + 1;
onePanel = imcrop(originalImage, [row1 col1 width height]);
Where col1, row1, col2, and row2 are is obviously a judgement call - you and I might not agree on where they are.
  9 comentarios
Image Analyst
Image Analyst el 8 de Jul. de 2012
Can we assume that the copyright box will be in the same location for all your images? Because that's the only thing that would complicate the algorithm. Otherwise it's really simple, but that copyright connects the bottom three panels together. If I can assume that it will always be in the same place, I can erase it, threshold, fill, find bounding boxes, mask, then regionprops again to find bounding boxes again, and it will get the rectangular panels. But if the copyright box is sometimes there and sometimes not, or it's in different locations, then it would be a much more complicated algorithm.
shara
shara el 8 de Jul. de 2012
i think i'm not gonna use the copyright, maybe i'll erase it. so what step should i do? could u give me the example code? thanks before..

Iniciar sesión para comentar.


Ryan
Ryan el 8 de Jul. de 2012
Editada: Ryan el 8 de Jul. de 2012
Manual method:
scenenum = input('Please enter the number of scenes you wish to crop: ')
for m = 1:scenenum
mask = roipoly(Img);
segment{m} = immultiply(Img,mask);
Img = immultiply(Img,~mask);
figure, imshow(segment{m})
end
  12 comentarios
Walter Roberson
Walter Roberson el 29 de Jul. de 2012
7.8... that's R2009a if I remember correctly.
We have not been told what the error message is. Possibly it is complaining that the two inputs are of different classes.
Image Analyst
Image Analyst el 29 de Jul. de 2012
This is not what shara wants to do anyway, which is cropping. This would mask, not crop. Masking blackens inside or outside some area, while cropping extracts the bounding box of the region into a new smaller image.

Iniciar sesión para comentar.

Categorías

Más información sobre Scripts en Help Center y File Exchange.

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by