Cut An Image

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 :

6 个评论
显示 4更早的评论隐藏 4更早的评论

Image Analyst 2014-12-20

An hour later, it still has not shown up. Try again.

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!

请先登录，再进行评论。

Answer 2

Image Analyst 2011-12-15

2
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/24041-cut-an-image#answer_31522

在 MATLAB Online 中打开

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