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How to extract the region of interest?

29 visualizaciones (últimos 30 días)
Sabarinathan Vadivelu
Sabarinathan Vadivelu el 21 de Sept. de 2012
Comentada: Suniti Singh el 5 de Abr. de 2021
Considering an image, imrect function displays the ROI. Now I want to extract the ROI and to be stored in another variable and displayed.
figure, imshow(inputImage);
I = imrect(gca,[50 50 100 100]);
  4 comentarios
Image Analyst
Image Analyst el 28 de Nov. de 2017
What is "leveling"? Start a new question and post your image.
Suniti Singh
Suniti Singh el 5 de Abr. de 2021
Hello sir I am working on medical image security. can you please help me with the code of svm classsification to classify the image into roi and nroi.
Thanks & Regards

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Respuesta aceptada

Image Analyst
Image Analyst el 21 de Sept. de 2012
Use imcrop().
grayImage = imread('pout.tif');
imshow(grayImage);
h = imrect;
position = wait(h);
croppedImage = imcrop(grayImage, position);
figure;
imshow(croppedImage);
  3 comentarios
Image Analyst
Image Analyst el 15 de En. de 2014
Editada: Image Analyst el 15 de En. de 2014
It is a built - in function. The code is straight out of the MATLAB help documentation for imrect . If you have wait, it will wait for you to double-click to accept the rectangle. If you don't have it, it finishes as soon as you lift the mouse button. You can do it without waiting and without using the wait function like this:
h = imrect;
% Wait for user.
% Comment out if you don't want to wait for confirmation.
% position = wait(h);
position = getPosition(h)
Explorer
Explorer el 21 de En. de 2014
Okay

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Más respuestas (2)

Amruta Talreja
Amruta Talreja el 1 de Mzo. de 2017
Hello Image Analyst. I got a ROI from the below code and now I want to label it. Please help me with the code of labeling a ROI. Thank you in advance. S = [1 1 50 50]; %the size of your ROI starts at point X1, Y1 I = imread('T1.tif'); % your input image figure, imshow(I); h = imrect(gca, S);
addNewPositionCallback(h,@(p) title(mat2str(p,3))); fcn = makeConstrainToRectFcn('imrect',get(gca,'XLim'),get(gca,'YLim')); setPositionConstraintFcn(h,fcn)
position = wait(h); I2 = imcrop(I,position); imshow(I2); % the output image of your ROI
  2 comentarios
Image Analyst
Image Analyst el 1 de Mzo. de 2017
What does labeling mean to you?
In the meantime, look at these functions bwlabel(), bwconncomp(), text(), annotation().
prahlad h
prahlad h el 1 de Mzo. de 2017
This is not directly related to my question, but Image Analyst, could you please answer this? segmentation question

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Thilakam kuttiannan
Thilakam kuttiannan el 3 de Sept. de 2018
sir Can you please send me the coding for ROI for a given image
  3 comentarios
Matpar
Matpar el 29 de Feb. de 2020
I am trying to understand the labelling process, please guide me..
I have 40 images for which I have labelled the region of interest ROI via the Matlab app! This was taken from the stopsign example in mathworks.
I am having some challgenges understanding how to code in the images that does not contain the region of Interest! Where does that bit fit in?
Please help me to undertand this, I am stuck and cannot move forward until I gather this understanding..
Thus far I researched the labelling process but no where I am seeing where they are implementing the processes for the non ROI images. or is this being called some where other and I am not seeing this
Image Analyst
Image Analyst el 29 de Feb. de 2020
It would be mostly the same code, but after segmentation you'd just check for no blobs:
[labeledImage, numberOfRegions] = bwlabel(binaryImage);
if numberOfRegions == 0
% No blobs found. Just exit
return;
end
% Blobs found, so continue
props = regionprops(labeledImage, 'Area')

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