How to compare two matrix?
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redChannel = IM(:, :, 1);
greenChannel = IM(:, :, 2);
blueChannel = IM(:, :, 3);
for yourNumber = 1 : max(labelimg(:))
thisLabel = labelimg == yourNumber; % for example 2 or 3 or whatever region you want.
meanR(yourNumber) = mean(redChannel(thisLabel));
meanG(yourNumber) = mean(greenChannel(thisLabel));
meanB(yourNumber) = mean(blueChannel(thisLabel));
end
table(neigbor label)=
2 3 4 5
2 1
3 1 1
4 1 1 1
5 1 0 1 1
I got a table which show the neighbor label and I got mean rgb for each label, I just need loop through the left triangle because another part is same.
The mean value for the label is double type, how I can round to integer only?
I got the mean of each label region and then I now want to compare them.
for i=2 : max(table(:))
for j=2:max(table(:))
if(i,j+1)=1 %1 mean 2 label are neighbor
if compare(j+1,i)<=(rgb+-5) %then reassign the label
if (i>j+1) label i = label j+1 %always assign to smaller label
else label j+1 = label to i
Final result I hope to get is like this
label 4 and 5 is within(rgb+-5) with label 2 so all assign to label 2
label =
3 3 3 3 3 3
1 1 1 1 1 1
1 2 2 1 4 1
1 1 1 1 4 1
5 5 5 1 1 1
5 5 5 5 5 5
result =
3 3 3 3 3 3
1 1 1 1 1 1
1 2 2 1 2 1
1 1 1 1 2 1
2 2 2 1 1 1
2 2 2 2 2 2
Accepted Answer
More Answers (1)
Image Analyst
on 6 Dec 2015
0 votes
The answer to "how I can round to integer only?" is to use the int32() function.
5 Comments
Tan Wen Kun
on 6 Dec 2015
Edited: Tan Wen Kun
on 6 Dec 2015
Jan
on 6 Dec 2015
@Tan Wen Kun: The function name of what? What should the command "compare(j+1,i)<=(rgb+-5)" do? It is impossible to guess, what you want.
Tan Wen Kun
on 6 Dec 2015
Image Analyst
on 6 Dec 2015
I have no idea what that triangular table is so I can't answer. And I don't know what reassigning labels is going to do. I think you're trying to do some kind of region growing/merging because you started out with a bad segmentation that was made worse by oversegmentation by watershed and now you're trying to fix it in a way that won't work.
Tan Wen Kun
on 7 Dec 2015
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