How can I remove unwanted area by mask?
8 views (last 30 days)
Show older comments
Dear All,
Could anyone help to remove unwanted area by using a mask? as figure bellow
- I create a mask by thresholding
- Then want to remove unwanted area by the mask

% here is my code
I = imread('coins.png');
X = imadjust(I);
% Threshold image - manual threshold
BW = im2gray(X) > 5.355000e+01;
% Dilate mask with default
radius = 1;
decomposition = 4;
se = strel('disk', radius, decomposition);
BW = imdilate(BW, se);
% Create masked image.
maskedImage = X;
maskedImage(~BW) = 0;
imwrite(maskedImage,'mask.png')
Accepted Answer
DGM
on 4 Jul 2022
Edited: DGM
on 5 Jul 2022
Just get the file names somehow and read/process/write the files in a loop.
This is one example based on simple pattern matching.
% you'll have to set these directories
inFolder = 'sources'; % this is just where i had some test files
outFolder = './'; % the folder to place the outputs in
outfiletype = '.png'; % this makes it easy to change
filePattern = fullfile(inFolder, '*.jpg'); % select which files to load
allFiles = dir(filePattern);
for k = 1:length(allFiles)
baseFileName = allFiles(k).name;
fullFileName = fullfile(inFolder, baseFileName);
% process image...
I = imread(fullFileName);
I = im2gray(I); % image needs to be gray if using imadjust() like that
I = imadjust(I);
% Threshold image - manual threshold
% you'll have to come up with a way to do the thresholding
% that's effective for all images. that's not something i can guess
BW = I > 5.355000e+01;
% Dilate mask with default
radius = 1;
decomposition = 4;
se = strel('disk', radius, decomposition);
BW = imdilate(BW, se);
% Create masked image.
maskedImage = I;
maskedImage(~BW) = 0;
% write images
% this assumes all input images are .jpg or .png; add cases as needed
fnamenoext = regexprep(baseFileName,'(.jpg$)|(.png$)','');
% build filename out of old filename, k, and specified path/extension
FileName = fullfile(outFolder,sprintf('%s_masked%s',fnamenoext,outfiletype))
imwrite(maskedImage,FileName); %B is the output images
end
See also:
5 Comments
DGM
on 5 Jul 2022
Oh sorry. I meant to delete that. You should be able to use the im2gray() line that's commented out.
I used mono() since I'm using an older version that doesn't have im2gray().
More Answers (1)
Image Analyst
on 4 Jul 2022
"How can I put process for multiple image ? " << See the FAQ:
0 Comments
See Also
Categories
Find more on Image Processing Toolbox in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!