# Trying to pattern match 5 repetitions in 2-d array

2 ビュー (過去 30 日間)
Scott 2014 年 9 月 28 日

I have the following array and I need to find and transpose into a results array each time 5 consecutive numbers match in rows or columns or both. 19x19 array only options -1,0,1 Can anyone help ?
1 1 1 -1 -1 -1 1 1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 0
1 -1 -1 1 1 -1 -1 -1 -1 -1 1 -1 -1 1 -1 -1 -1 1 0
1 1 1 1 -1 1 -1 -1 -1 -1 1 -1 1 1 1 1 1 1 0
-1 -1 -1 1 1 -1 1 1 -1 -1 1 -1 -1 1 1 -1 1 -1 0
-1 -1 1 -1 1 1 -1 1 1 1 -1 -1 -1 1 1 1 -1 1 1
-1 1 -1 -1 1 1 0 -1 -1 1 -1 1 -1 1 -1 1 -1 1 0
1 -1 1 1 -1 -1 -1 -1 1 -1 1 -1 -1 1 1 -1 -1 -1 1
1 1 0 -1 -1 0 -1 -1 1 -1 -1 1 1 -1 1 -1 1 1 0
-1 1 1 1 1 -1 -1 -1 0 1 1 1 1 1 -1 -1 1 -1 0
1 1 1 1 1 -1 1 -1 1 -1 1 -1 1 1 -1 1 -1 -1 1
0 -1 1 1 1 1 0 0 -1 1 1 1 -1 0 1 0 1 -1 1
-1 -1 1 -1 -1 1 1 1 -1 -1 -1 1 1 1 -1 -1 1 1 0
1 -1 -1 -1 1 1 1 1 -1 1 -1 -1 -1 -1 1 -1 1 -1 0
1 1 1 -1 -1 1 -1 1 1 1 -1 -1 1 1 1 1 -1 1 0
-1 -1 1 1 1 -1 1 1 1 -1 1 1 1 -1 -1 1 -1 -1 1
1 1 -1 1 -1 0 -1 -1 -1 -1 1 -1 -1 1 -1 1 -1 -1 1
-1 -1 1 -1 -1 1 1 1 -1 1 -1 -1 -1 1 1 -1 -1 1 1
1 -1 1 -1 -1 0 1 -1 -1 -1 -1 1 -1 -1 0 1 1 1 1
0 1 0 1 1 1 0 1 0 1 1 0 0 0 0 0 1 1 -1
ideally my output should be (r)ow, (c)olumn or (b)oth to mark where the pattern match starts
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Image Analyst 2014 年 9 月 28 日
I'm not sure what "find and transpose into a results array" means exactly. What goes into the results array? The row and column where that pattern starts?

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### 回答 (2 件)

Image Analyst 2014 年 9 月 28 日
If you have the Image Processing Toolbox, use normxcorr2() which is meant for this:
m=[...
1 1 1 -1 -1 -1 1 1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 0
1 -1 -1 1 1 -1 -1 -1 -1 -1 1 -1 -1 1 -1 -1 -1 1 0
1 1 1 1 -1 1 -1 -1 -1 -1 1 -1 1 1 1 1 1 1 0
-1 -1 -1 1 1 -1 1 1 -1 -1 1 -1 -1 1 1 -1 1 -1 0
-1 -1 1 -1 1 1 -1 1 1 1 -1 -1 -1 1 1 1 -1 1 1
-1 1 -1 -1 1 1 0 -1 -1 1 -1 1 -1 1 -1 1 -1 1 0
1 -1 1 1 -1 -1 -1 -1 1 -1 1 -1 -1 1 1 -1 -1 -1 1
1 1 0 -1 -1 0 -1 -1 1 -1 -1 1 1 -1 1 -1 1 1 0
-1 1 1 1 1 -1 -1 -1 0 1 1 1 1 1 -1 -1 1 -1 0
1 1 1 1 1 -1 1 -1 1 -1 1 -1 1 1 -1 1 -1 -1 1
0 -1 1 1 1 1 0 0 -1 1 1 1 -1 0 1 0 1 -1 1
-1 -1 1 -1 -1 1 1 1 -1 -1 -1 1 1 1 -1 -1 1 1 0
1 -1 -1 -1 1 1 1 1 -1 1 -1 -1 -1 -1 1 -1 1 -1 0
1 1 1 -1 -1 1 -1 1 1 1 -1 -1 1 1 1 1 -1 1 0
-1 -1 1 1 1 -1 1 1 1 -1 1 1 1 -1 -1 1 -1 -1 1
1 1 -1 1 -1 0 -1 -1 -1 -1 1 -1 -1 1 -1 1 -1 -1 1
-1 -1 1 -1 -1 1 1 1 -1 1 -1 -1 -1 1 1 -1 -1 1 1
1 -1 1 -1 -1 0 1 -1 -1 -1 -1 1 -1 -1 0 1 1 1 1
0 1 0 1 1 1 0 1 0 1 1 0 0 0 0 0 1 1 -1]
% Define pattern/template to look for.
template = [-1, 0, 1];
out = normxcorr2(template, m)
% Clip off left side to make it be the same size as the original.
out = out(:, length(template):end);
% Display rows and columns of left most index match.
[rows, columns] = find(out >= 0.99)
In the command window:
rows =
18
9
11
18
columns =
5
8
13
14
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Anand 2014 年 9 月 29 日
Sounds like this is what you're looking for:
m = [1 1 1 -1 -1 -1 1 1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 0
1 -1 -1 1 1 -1 -1 -1 -1 -1 1 -1 -1 1 -1 -1 -1 1 0
1 1 1 1 -1 1 -1 -1 -1 -1 1 -1 1 1 1 1 1 1 0
-1 -1 -1 1 1 -1 1 1 -1 -1 1 -1 -1 1 1 -1 1 -1 0
-1 -1 1 -1 1 1 -1 1 1 1 -1 -1 -1 1 1 1 -1 1 1
-1 1 -1 -1 1 1 0 -1 -1 1 -1 1 -1 1 -1 1 -1 1 0
1 -1 1 1 -1 -1 -1 -1 1 -1 1 -1 -1 1 1 -1 -1 -1 1
1 1 0 -1 -1 0 -1 -1 1 -1 -1 1 1 -1 1 -1 1 1 0
-1 1 1 1 1 -1 -1 -1 0 1 1 1 1 1 -1 -1 1 -1 0
1 1 1 1 1 -1 1 -1 1 -1 1 -1 1 1 -1 1 -1 -1 1
0 -1 1 1 1 1 0 0 -1 1 1 1 -1 0 1 0 1 -1 1
-1 -1 1 -1 -1 1 1 1 -1 -1 -1 1 1 1 -1 -1 1 1 0
1 -1 -1 -1 1 1 1 1 -1 1 -1 -1 -1 -1 1 -1 1 -1 0
1 1 1 -1 -1 1 -1 1 1 1 -1 -1 1 1 1 1 -1 1 0
-1 -1 1 1 1 -1 1 1 1 -1 1 1 1 -1 -1 1 -1 -1 1
1 1 -1 1 -1 0 -1 -1 -1 -1 1 -1 -1 1 -1 1 -1 -1 1
-1 -1 1 -1 -1 1 1 1 -1 1 -1 -1 -1 1 1 -1 -1 1 1
1 -1 1 -1 -1 0 1 -1 -1 -1 -1 1 -1 -1 0 1 1 1 1
0 1 0 1 1 1 0 1 0 1 1 0 0 0 0 0 1 1 -1];
found = false(size(m));
for i = 1 : size(m,1)-4
for j = 1 : size(m,2)-4
% tag if current array element is equal to next 4 along row or column
found(i,j) = all(m(i,j:j+4)==m(i,j)) || all(m(i:i+4,j)==m(i,j));
end
end
[r,c] = find(found);
>> [r,c]
ans =
10 1
2 6
6 8
9 10
1 12
3 13
1 14
2 14
3 14
Just loop over the elements of the array and tag the elements that are equal to the next 4 elements (row or column). There's probably ways to vectorize this, but for your array size I don't think there's a need to.

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