separating the larger area from the image

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I have done labeling and getting how to proceed to next, please let me know how to separate the area
values greater than 6000(threshold) and get a image of it. allAreas =
Columns 1 through 13
6722 61 66 18 1504 10 422 52 4 6 4 22 65
Columns 14 through 26
233 48 2 127 6 61 24 182 2 10 24 37 10
Columns 27 through 39
59 22 17 4 5 2946 8 25 6 13 18 11 86
Columns 40 through 52
2 9 12 2 9 12 4 118 17 1547 27 5 61
Columns 53 through 65
93 2 6 2 6 14 10 9 27 6 11 10 2
Columns 66 through 78
2 6 414 69 48 29 88 186 5 14 13 110 6
Columns 79 through 91
4 66 36 2 2 718 7 36 13 8 61 10 15
Columns 92 through 104
9 117 2 3 30 15 21 274 17 8 2 13 13
Columns 105 through 115
9 2 10 2 6 3 6 3 7 8 4

Accepted Answer

Image Analyst
Image Analyst on 21 Oct 2014
See my Image Segmentation Tutorial where I demonstrate just that. http://www.mathworks.com/matlabcentral/fileexchange/?term=authorid%3A31862 Here's a snippet:
% Now I'll demonstrate how to select certain blobs based using the ismember function.
% Let's say that we wanted to find only those blobs
% with an intensity between 150 and 220 and an area less than 2000 pixels.
% This would give us the three brightest dimes (the smaller coin type).
allBlobIntensities = [blobMeasurements.MeanIntensity];
allBlobAreas = [blobMeasurements.Area];
% Get a list of the blobs that meet our criteria and we need to keep.
allowableIntensityIndexes = (allBlobIntensities > 150) & (allBlobIntensities < 220);
allowableAreaIndexes = allBlobAreas < 2000; % Take the small objects.
keeperIndexes = find(allowableIntensityIndexes & allowableAreaIndexes);
% 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);
% Re-label with only the keeper blobs kept.
labeledDimeImage = bwlabel(keeperBlobsImage, 8); % Label each blob so we can make measurements of it

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