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how to crop white regions alone in a binary image without user interface.

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I have a binary image with background in black color and foreground in white color. how to crop only the foreground region without using tools like roipoly or imfreehand..
to
  1 Comment
shan shan
shan shan on 12 Mar 2020
This is my binary image from this i have to crop the white regions into three images separately can you please help me to do this?,thanks in advance.

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Accepted Answer

Image Analyst
Image Analyst on 2 Feb 2016
You can use regionprops() to get the bounding box. Then use indexing to extract (crop) it.
Alternatively, if you don't have the Image Processing Toolbox, use
[rows, columns] = find(binaryImage);
row1 = min(rows);
row2 = max(rows);
col1 = min(columns);
col2 = max(columns);
croppedImage = binaryImage(row1:row2, col1:col2);
  2 Comments
Ashwini
Ashwini on 12 Feb 2016
Thank a lot.I executed the above code and it works.. But how to get this with regionprops() ?? when i use regionprops(img,'Boundingbox'), boundingbox gives fraction values. i tried with a binary matrix z=
1 0 0 1 1
0 0 0 1 0
1 0 0 1 0
1 0 0 0 0
1 0 1 1 1
st=regionprops(z,'boundingbox'); gives 1x1 struct which has Boundingbox=[0.5000 0.5000 5 5]
how to get index from this.. can u provide me the code...
Image Analyst
Image Analyst on 12 Feb 2016
There is nothing to crop. You want the whole image. regionprops gives box coordinates "outside" the pixels because the pixels are at the integers for example if a pixel at 3 was zero and the pixel at 4 was 1, then the bounding box would go in between them at a location of 3.5.

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