Count the "areas" of zeros and the "areas" of ones in a vector?

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Giorgos Papakonstantinou
Giorgos Papakonstantinou le 21 Juin 2013
I have a vector:
a=[0 1 1 1 1 1 1 0 0 1 1 1 1 1 0 0 1 1 1 0 1 ];
in which I would like to count the "areas" of zeros and the "areas" of ones. In the example above I have
4 areas of zeros and 4 areas of ones. Thank you!

Réponse acceptée

Andrei Bobrov
Andrei Bobrov le 21 Juin 2013
a=[0 1 1 1 1 1 1 0 0 1 1 1 1 1 0 0 1 1 1 0 1 ];
lc = [true;diff(a(:))~=0];
x = a(lc);
zerosareas = sum(~x);
onesareas = sum(x);

Plus de réponses (2)

Jan
Jan le 21 Juin 2013
Another approach which might be faster for large data sets: FEX: RunLength:
a = [0 1 1 1 1 1 1 0 0 1 1 1 1 1 0 0 1 1 1 0 1 ];
b = RunLength(a);
nZero = sum(b == 0);
nOne = length(b) - nZero; % Or: sum(b == 1)
  2 commentaires
Giorgos Papakonstantinou
Giorgos Papakonstantinou le 22 Juin 2013
Thank you Jan!
Jan
Jan le 22 Juin 2013
Modifié(e) : Jan le 22 Juin 2013
For 100'000 elements, the RunLength approach is twice as fast as the DIFF method. But as long as both methods need only some milliseconds, this might not really matter.

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Image Analyst
Image Analyst le 23 Juin 2013
I know you already accepted an answer, but if you have the Image Processing Toolbox there is a straightforward one-liner solution to get either of those numbers:
a=[0 1 1 1 1 1 1 0 0 1 1 1 1 1 0 0 1 1 1 0 1];
[~, numberOf1Regions] = bwlabel(a) % Get # of "1" regions.
[~, numberOf0Regions] = bwlabel(~a) % Get # of "0" regions.

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