Cut An Image

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bahar cham
bahar cham 2011-12-15
评论： Nour 2014-12-21
Hi All,
Is there a way by which we can separate an image like this?
http://i39.tinypic.com/tamp9f.png
I would like to get an output like below.
http://i43.tinypic.com/2a0doxs.png
I tried morphological operation but i could not and I am not sure that it is a true way.
Thanks in advance.

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采纳的回答

Chandra Kurniawan
Chandra Kurniawan 2011-12-15
clear; clc;
I = imread('tamp9f.png');
Icrop = imcrop(I);
bw = im2bw(Icrop);
imshow(bw); pause;
Ifill = imfill(bw,'holes');
imshow(Ifill); pause;
Iarea = bwareaopen(Ifill,10000);
imshow(Iarea); pause;
boundary = bwboundaries(Iarea);
b = boundary{1};
imshow(Ifill); hold on;
plot(b(:,2),b(:,1),'g','LineWidth',3);
The Result :
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Image Analyst
Image Analyst 2014-12-20
An hour later, it still has not shown up. Try again.
Nour
Nour 2014-12-21
yeah just got that the post is not effective, i've just post it again, and it is ok now.
Thanks in advance!

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更多回答（1 个）

Image Analyst
Image Analyst 2011-12-15
Here's one of my functions that you might be able to use. It accepts a binary image and returns the "N" largest blobs in the output image.
% Retain the "numberToKeep" biggest blobs in a binary image.
function keeperBlobsImage = RetainLargestBlobs(binaryImage, numberToKeep)
try
% Label each blob so can do calc on it
[labeledImage numberOfBlobs] = bwlabel(binaryImage, 8);
% Make sure we don't attempt to keep more blobs than actually exist.
if numberToKeep > numberOfBlobs
numberToKeep = numberOfBlobs;
end
% Make the area measurements.
blobMeasurements = regionprops(labeledImage, 'Area'); % Get the blob properties of 'Area'
allAreas = [blobMeasurements.Area];
% Get a list of the blobs that meet our criteria and we need to keep.
[sortedAreas sortedIndices] = sort(allAreas, 'descend');
keeperIndexes = sortedIndices(1 : numberToKeep);
% Extract only those blobs that meet our criteria, and
% eliminate those blobs that don't meet our criteria.
% Note how we use ismember() to do this.
keeperBlobsImage = ismember(labeledImage, keeperIndexes);
catch ME
errorMessage = sprintf('Error in function RetainLargestBlobs.\n\nError Message:\n%s', ME.message);
WarnUser(errorMessage);
end
return; % from RetainLargestBlobs
Once you have the largest blob you can try to smooth the boundaries using alpha shapes ( http://cgm.cs.mcgill.ca/~godfried/teaching/projects97/belair/alpha.html ) or morphological methods such as alternating sequential filters ( http://www.esiee.fr/~coupriem/Pdf/cb04.pdf )

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