Mercurial > hg > medcouple
view talk/code/medc_naive.m @ 49:1676c032cde5
add images explaining the naïve algorithm
author | Jordi Gutiérrez Hermoso <jordigh@octave.org> |
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date | Sun, 15 May 2016 13:21:56 -0400 |
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# A particularly nice rand(1,9) output x =[0.1434371910495317 0.7884491711159078 0.5303604008014775 0.6667158533830928 0.3678275414673733 0.0996218030091724 0.4403602735726169 0.7641625823436032 0.3729928446344657]; imshow(x); print -dpng x.png sortx = sort(x); imshow(x); print -dpng sortx.png RGB = repmat(sortx, 1, 1, 3); RGB(1,5,1) = 1; imshow(RGB); print -dpng sortx-red.png z = (sortx - median(x))/(max(x) - min(x)); zp = z(z>=0); RGB = repmat(zp, 1, 1, 3); RGB(1,5,1) = 1; imshow(RGB); print -dpng zplus.png zm = z(z<=0)'; RGB = repmat(zm, 1, 1, 3); RGB(5,1,1) = 1; imshow(RGB); print -dpng zminus.png H = (zp + zm)./(zp - zm); H(isnan(H)) = 0; H = (H + 1)/2; imshow(H); print -dpng H.png medc = median(H(:)); [i, j] = find(H == medc); RGB = repmat(H, 1, 1, 3); RGB(i, j, 1) = 1; imshow(RGB); print -dpng medc.png