I have a 3D matrix in Matlab to store a sequence of 2D arrays. I'm having to find the maximal value and its row and column indices, which is pretty straightforward for a single variable that holds a 2D array as in
我在Matlab中有一个3D矩阵来存储一系列2D数组。我必须找到最大值及其行和列索引,这对于保存2D数组的单个变量非常简单。
A = rand(10,10);
[m,i] = max(A(:));
[I,J] = ind2sub( size(A) , i )
The trouble is that I cannot use this syntax for the 3D matrix
麻烦的是我不能将这种语法用于3D矩阵
A = rand(10,10,3);
[m,i] = max( A(:,:,1)(:) );
[I,J] = ind2sub(size( A(:,:,1) ), i )
Error: ()-indexing must appear last in an index expression.
I could create a temporary variable to store the 2D slice, but I'd thought I'd see if there's a better means of doing this, maybe making a call to reshape? Is there any way to use the simple linearizing/flattening operator (:)
in this context?
我可以创建一个临时变量来存储2D切片,但我想我会看到是否有更好的方法可以做到这一点,也许会调用重塑?有没有办法在这种情况下使用简单的线性化/展平运算符(:)?
3 个解决方案
#1
4
Here's what I'd do:
这是我要做的:
[B i]=max(reshape(A,[],size(A,3)));
[II,JJ]=ind2sub(size(A),i );
The only limitation is that it wont treat well cases where there is more than one max per 2D slice.
唯一的限制是它不会处理每个2D切片有多个最大值的情况。
#2
1
You could convert it to a cell array and use cellfun
您可以将其转换为单元格数组并使用cellfun
B=mat2cell(reshape(A,[1, size(A,2).^2, size(A,3)]),[1],[size(A,2).^2], [ones(size(A,3),1)]);
[M,I]= cellfun(@max,B)
[R,C] = ind2sub(size(A),I);
M
contains the maximum value and I
the corresponding index.
M包含最大值,I包含相应的索引。
Assuming that A
is a 3x3x2
array.
假设A是3x3x2阵列。
A =[
0.7952 0.4456 0.7547
0.1869 0.6463 0.2760
0.4898 0.7094 0.6797];
A(:,:,2) =[
0.6551 0.4984 0.5853
0.1626 0.9597 0.2238
0.1190 0.3404 0.7513];
Convert each slice into a 1x9x2
cell array
将每个切片转换为1x9x2单元阵列
B=mat2cell(reshape(A,[1, size(A,2).^2, size(A,3)]),[1],[size(A,2).^2], [ones(size(A,3),1)]);
B(:,:,1) =
[1x9 double]
B(:,:,2) =
[1x9 double]
Take the maximum of each slice. R
is the row and C
is the column for the respective maximum value in M
.
取每片的最大值。 R是行,C是M中各自最大值的列。
[M,I]= cellfun(@max,B)
[R,C] = ind2sub(size(A),I)
R(:,:,1) =
1
R(:,:,2) =
2
C(:,:,1) =
1
C(:,:,2) =
2
#3
0
Successively taking max will directly pull out the indices in (reverse) order:
连续取max将直接以(反向)顺序拉出索引:
A = rand(10,10,3);
[m,J] = max(max(A(:,:,1)));
[m,I] = max(A(:,J,1));
%check: A(I,J,1) == m
%check:A(I,J,1)== m
#1
4
Here's what I'd do:
这是我要做的:
[B i]=max(reshape(A,[],size(A,3)));
[II,JJ]=ind2sub(size(A),i );
The only limitation is that it wont treat well cases where there is more than one max per 2D slice.
唯一的限制是它不会处理每个2D切片有多个最大值的情况。
#2
1
You could convert it to a cell array and use cellfun
您可以将其转换为单元格数组并使用cellfun
B=mat2cell(reshape(A,[1, size(A,2).^2, size(A,3)]),[1],[size(A,2).^2], [ones(size(A,3),1)]);
[M,I]= cellfun(@max,B)
[R,C] = ind2sub(size(A),I);
M
contains the maximum value and I
the corresponding index.
M包含最大值,I包含相应的索引。
Assuming that A
is a 3x3x2
array.
假设A是3x3x2阵列。
A =[
0.7952 0.4456 0.7547
0.1869 0.6463 0.2760
0.4898 0.7094 0.6797];
A(:,:,2) =[
0.6551 0.4984 0.5853
0.1626 0.9597 0.2238
0.1190 0.3404 0.7513];
Convert each slice into a 1x9x2
cell array
将每个切片转换为1x9x2单元阵列
B=mat2cell(reshape(A,[1, size(A,2).^2, size(A,3)]),[1],[size(A,2).^2], [ones(size(A,3),1)]);
B(:,:,1) =
[1x9 double]
B(:,:,2) =
[1x9 double]
Take the maximum of each slice. R
is the row and C
is the column for the respective maximum value in M
.
取每片的最大值。 R是行,C是M中各自最大值的列。
[M,I]= cellfun(@max,B)
[R,C] = ind2sub(size(A),I)
R(:,:,1) =
1
R(:,:,2) =
2
C(:,:,1) =
1
C(:,:,2) =
2
#3
0
Successively taking max will directly pull out the indices in (reverse) order:
连续取max将直接以(反向)顺序拉出索引:
A = rand(10,10,3);
[m,J] = max(max(A(:,:,1)));
[m,I] = max(A(:,J,1));
%check: A(I,J,1) == m
%check:A(I,J,1)== m