Borrar filtros
Borrar filtros

Crop the irrelevant part of the Image

7 visualizaciones (últimos 30 días)
Zaheer Abbas
Zaheer Abbas el 28 de Abr. de 2017
Respondida: Image Analyst el 2 de Mayo de 2017
I am new to Matlab. I want to crop the highlighted part of the gray image and remove the rest part. How to do that, kindly explain as well. Thanks.
  3 comentarios
Zaheer Abbas
Zaheer Abbas el 2 de Mayo de 2017
One last help please!
Image Analyst
Image Analyst el 2 de Mayo de 2017
You have not attached the original image. Not the cropped one, and not the one with the red box on it, but the original image. So, did you even try stdfilt()?

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Respuesta aceptada

Image Analyst
Image Analyst el 28 de Abr. de 2017
If you know the bounding rows and columns, you can do indexing
croppedImage = rgbImage(row1:row2, col1:col2, :);
or use imcrop():
croppedImage = imcrop(rgbImage, [leftCol, topRow, (rightCol-leftCol+1), (bottomRow-topRow+1)]);
  6 comentarios
Image Analyst
Image Analyst el 29 de Abr. de 2017
Yes, but that was not the original question so I didn't answer that. You could use stdfilt() and threshold and find the bounding box. Search for braille here - I know I've done code for it before.
Zaheer Abbas
Zaheer Abbas el 1 de Mayo de 2017
Sir, I tried to find the code, but couldn't find it. If you please help with the code (crop through bounding box). Really sorry, but I am really stuck in this. I have very little time. Thanks in Advance

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Más respuestas (2)

KSSV
KSSV el 28 de Abr. de 2017
Editada: KSSV el 28 de Abr. de 2017
doc imcrop
When propted, draw a rectangle in your interested area.
I = imread('your image') ; % Read image
imshow(I) ;
I1 = imcrop(I) ; % crop the image
imshow(I1)
imwrite(I1,'croppedimage.jpg'); % save the image
  5 comentarios
KSSV
KSSV el 28 de Abr. de 2017
How about picking up half of the matrix after imread?
Zaheer Abbas
Zaheer Abbas el 29 de Abr. de 2017
Thanks a lot sir! :) It helped me..

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Image Analyst
Image Analyst el 2 de Mayo de 2017
Zaheer, I'm sure by now you've tried to take my suggestion and use stdfilt() to automatically get the bounding box. You can look at how I did it and compare it to your own.

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