null or NaN entries in image arrays?

78 views (last 30 days)
Tim
Tim on 13 Nov 2024 at 4:25
Commented: Walter Roberson on 14 Nov 2024 at 4:37
Is it possible to set some elements in animage array to null or in some way that they are ignored?
I have an automatically detected circular ROI outside of which is to be ignored (those values will skew the results) and need to step through the array using a for loop. Obviously a for loop can only step in rectangles so is there any way I can set an element in that image array to null or NaN that is acceptable?
Regards
Tim
  4 Comments
Manikanta Aditya
Manikanta Aditya on 13 Nov 2024 at 5:01
Yes, you can programmatically set elements in an image array to NaN to ignore them in your calculations.
DGM
DGM on 13 Nov 2024 at 5:31
What is the actual applied operation? Does it actually require a loop, or can it be done with basic logical indexing?

Sign in to comment.

Accepted Answer

Epsilon
Epsilon on 13 Nov 2024 at 4:40
Edited: Epsilon on 13 Nov 2024 at 4:42
Hi Tim,
It is possible to set the elements to NAN in order to be ignored. Attaching an example:
% Sample image array
img = rand(100);
% Define the circular ROI
[rows, cols] = size(img);
center = [50, 50];
radius = 20;
% Create a mask for the circular ROI
[x, y] = meshgrid(1:cols, 1:rows);
mask = sqrt((x - center(1)).^2 + (y - center(2)).^2) <= radius;
% Set elements outside the circle to NaN
imgModified = img;
imgModified(~mask) = NaN;
% Display original and modified images
figure;
subplot(2, 1, 1); imagesc(img); title('Original'); colorbar;
subplot(2, 1, 2); imagesc(imgModified); title('Modified'); colorbar;
Hope it helps.
  2 Comments
Tim
Tim on 14 Nov 2024 at 3:35
That worked well. Thanks Epsilon
Walter Roberson
Walter Roberson on 14 Nov 2024 at 4:37
This code relies upon img being type double or single . This code would not work if img is uint8() for example. You really should use im2double() like I showed in my Answer.

Sign in to comment.

More Answers (3)

Walter Roberson
Walter Roberson on 13 Nov 2024 at 5:06
Edited: Walter Roberson on 13 Nov 2024 at 5:12
The trick is that if your image array is not datatype single() or double(), then there is no way to set locations to be ignored as part of the same array
You can, however,
Imd = im2double(YourImageArray);
Imd(AppropriateLocations) = nan;
This will not in itself cause locations to be skipped. For example if you have
for ROW = 1 : size(YourImageArray,1)
for COL = 1 : size(YourImageArray,2)
do something with Imd(ROW,COL)
end
end
then this code in itself will not skip the locations that are NaN. You would need
for ROW = 1 : size(YourImageArray,1)
for COL = 1 : size(YourImageArray,2)
if ~isnan(Imd(ROW,COL))
do something with Imd(ROW,COL)
end
end
end
but if you are going to do that then you might as well use
for ROW = 1 : size(YourImageArray,1)
for COL = 1 : size(YourImageArray,2)
if YourImageMask(ROW,COL)
do something with YourImageArray(ROW,COL)
end
end
end

Steven Lord
Steven Lord on 13 Nov 2024 at 5:10
If your images are stored in an integer data type, assigning a NaN value into that array will store a 0 in that location. There is no equivalent of a NaN value in the integer types; all the possible bit patterns that can be stored in that type represent finite values.
A = int16(magic(3))
A = 3×3
8 1 6 3 5 7 4 9 2
<mw-icon class=""></mw-icon>
<mw-icon class=""></mw-icon>
A(3, 3) = NaN % 2 replaced by 0 not NaN
A = 3×3
8 1 6 3 5 7 4 9 0
<mw-icon class=""></mw-icon>
<mw-icon class=""></mw-icon>
B = uint32(magic(4))
B = 4×4
16 2 3 13 5 11 10 8 9 7 6 12 4 14 15 1
<mw-icon class=""></mw-icon>
<mw-icon class=""></mw-icon>
B(2, 4) = NaN % 8 replaced by 0 not NaN
B = 4×4
16 2 3 13 5 11 10 0 9 7 6 12 4 14 15 1
<mw-icon class=""></mw-icon>
<mw-icon class=""></mw-icon>

Tim
Tim on 14 Nov 2024 at 3:35
Thanks for your help guys.

Categories

Find more on Image Processing Toolbox in Help Center and File Exchange

Products


Release

R2024b

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!