how to clear the border of matrix?

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Tan Wen Kun
Tan Wen Kun 2015 年 12 月 4 日
コメント済み: Tan Wen Kun 2015 年 12 月 4 日
I have a label image matrix
img=
1 1 1 2 2 2 3 3 3 3
1 2 2 2 9 3 3 3 3 3
1 1 9 9 9 9 9 9 3 3
1 8 8 8 8 8 8 8 8 3
1 8 8 8 7 7 7 7 7 3
1 7 7 7 7 1 1 7 7 3
1 1 1 1 1 1 1 1 1 1
I want to clear the side border and register it and clear the inside matrix with the value is same as side so turn them into 0.
side=
1 1 1 2 2 2 3 3 3 3
1 3
1 3
1 3
1 3
1 3
1 1 1 1 1 1 1 1 1 1
side =(1,2,3)
result=
0 0 0 0 0 0 0 0 0 0
0 0 0 0 9 0 0 0 0 0
0 0 9 9 9 9 9 9 0 0
0 8 8 8 8 8 8 8 8 0
0 8 8 8 7 7 7 7 7 0
0 7 7 7 7 0 0 7 7 0
0 0 0 0 0 0 0 0 0 0

採用された回答

Guillaume
Guillaume 2015 年 12 月 4 日
編集済み: Guillaume 2015 年 12 月 4 日
It's actually very simple using set operations:
img = [1 1 1 2 2 2 3 3 3 3
1 2 2 2 9 3 3 3 3 3
1 1 9 9 9 9 9 9 3 3
1 8 8 8 8 8 8 8 8 3
1 8 8 8 7 7 7 7 7 3
1 7 7 7 7 1 1 7 7 3
1 1 1 1 1 1 1 1 1 1];
result = img;
result(ismember(result, union(result(:, [1 end]), result([1 end], :)))) = 0
union gives you the unique labels that are part of the vertical and horizontal borders. ismember tells you which labels at what position are parts of that union. You then use the logical vector generated by ismember to set the respective labels to 0.

その他の回答 (1 件)

Image Analyst
Image Analyst 2015 年 12 月 4 日
If you want, you can just set the rows and columns to zero
img = [1 1 1 2 2 2 3 3 3 3
1 2 2 2 9 3 3 3 3 3
1 1 9 9 9 9 9 9 3 3
1 8 8 8 8 8 8 8 8 3
1 8 8 8 7 7 7 7 7 3
1 7 7 7 7 1 1 7 7 3
1 1 1 1 1 1 1 1 1 1];
result = img;
result(1,:)=0;
result(end,:)=0;
result(:,1)=0;
result(:,end)=0
  4 件のコメント
Image Analyst
Image Analyst 2015 年 12 月 4 日
I don't understand any of what you said. But whatever . . . you've accepted Guillaume's answer so I guess your problem is resolved now and that's what counts. Good luck.
Tan Wen Kun
Tan Wen Kun 2015 年 12 月 4 日
Because I doing some dumb image segmentation so sometime my question is look abit foolish~my lecturer just give me the step that whatever now me can do in time so my work is abnormal than normal image segmentation

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