How to separate a matrix by zeros?
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Hi guys. For an assignment, I have to split up a matrix, separated by zeros. For just a vector it worked like this:
A = [1 2 3 0 0 0 0 0 2 3 4 0 0 0 0 0 4 5 6 7 0 0 0 0 1 1 1];
ne0 = find(A~=0); % Nonzero Elements
ix0 = unique([ne0(1) ne0(diff([0 ne0])>1)]); % Segment Start Indices
ix1 = ne0([find(diff([0 ne0])>1)-1 length(ne0)]); % Segment End Indices
for k1 = 1:length(ix0)
section{k1} = A(ix0(k1):ix1(k1));
end
celldisp(section) % Display Results
I found the above script somewhere else here.
But now I have to do more or less the same for a matrix. For example:
2 9
3 5
7 2
0 4
0 2
0 7
1 4
8 5
0 4
2 8
into:
2 9
3 5
7 2
1 4
8 5
2 8
I tried to modify the script above, but that was not successful.
2 commentaires
Mollymomo
le 18 Oct 2018
Is there a way I can use the original one for a matrix? when I try to use it for a matrix it gives me an error about horzcat that says "Dimensions of arrays being concatenated are not consistent."
Image Analyst
le 18 Oct 2018
To concatenate vertically the number of columns of the matrices must match. To concatenate horizontally the number of rows of the matrices must match. Otherwise, how could you stitch them together? If you still have a problem read this link and post in a new question (not here).
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Plus de réponses (1)
Image Analyst
le 5 Juin 2016
An alternate way, if you have the Image Processing Toolbox is
m = [...
2 9
3 5
7 2
0 4
0 2
0 7
1 4
8 5
0 4
2 8]
% If there is a zero in column 1, make the zero in column 2 also
m(m(:,1)==0, 2) = 0
[labeledMatrix, numberOfRegions] = bwlabel(m) % Identify separate regions
% Extract/crop all the separate sub-arrays from m and save in a cell array
for k = 1 : numberOfRegions
% Get the values
theRegions{k} = m(labeledMatrix(:, 1) == k, :);
end
% Print out all the regions to the command window.
celldisp(theRegions)
1 commentaire
Koos Toebes
le 5 Juin 2016
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