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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 Kommentar
shan shan
shan shan am 12 Mär. 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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Image Analyst
Image Analyst am 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 Kommentare
Ashwini
Ashwini am 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 am 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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