just a question

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Stephen
Stephen el 29 de Mayo de 2012
let's say i have the image:
img =
[1 0 -1;
0 -1 0;
1 1 -1];
and I'd like to get the values on the 8-connected area around the center:
vals = [0 -1 0 1 0 1 1 -1];
and then get the most common and least common values, and if there are two, to pick the lowest value.
I can only thing to do:
meh = im2col(img,[3 3],'distinct');
meh(5,:) = [];
answer = mode(meh);
but i can't figure out a way to get the least common thing unless i do ~mode a bunch of times...
Any ideas? Thanks :)

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Image Analyst
Image Analyst el 29 de Mayo de 2012
You could use blockproc and have the blockproc function call hist. But you know that there could be up to 8 values that are the least common. What if your 8 neighbors are 8 unique values? What do you want to do then?
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Image Analyst
Image Analyst el 29 de Mayo de 2012
Yes, you could do the same thing with nlfilter and it is easier to understand. Good point.
Stephen
Stephen el 4 de Jun. de 2012
yeah, but you asked if all values were unique, what would happen. It should order from lowest to highest and return the extremes. Thanks Teja, I'll check out nlfilter

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