regionprops Bounding box property returns values outside image dimensions

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Hi,
I am using Matlab R2022a. I am trying to draw bounding boxes to an image considering English alphabets. I am extremely new to Matlab so I apologize if my question or technique is wrong.
I considered using thresholding after binarizing the image and then using connected components to find the bounding boxes. Here is my code:
image = imread(image_path);
image = im2double(imcomplement(image));
image1 = imbinarize(image_comp);
connected = bwconncomp(image1);
imshow(image1);
props = regionprops(connected, 'BoundingBox');
for i = 1:connected.NumObjects
if(props(i).BoundingBox(1) > connected.ImageSize(1))
rectangle('Position', props(i).BoundingBox,'EdgeColor', [0, 1, 0], 'LineWidth', 2)
continue;
end
rectangle('Position', props(i).BoundingBox,'EdgeColor', [1, 0, 0], 'LineWidth', 2)
end
I noticed that some of the x values in the bounding boxes returned were outside the dimensions of the actual image (drawn in green colour). So I am unable to crop these regions of the image.
Here is the output I receive:
Please advice on what I am doing wrong.
  1 comentario
Image Analyst
Image Analyst el 21 de Sept. de 2022
Not sure what you mean. All boxes, red or green, completely contain one blob. None of the bounding box x values of the left edge should be outside the image (below a value of 1).
props = regionprops(connected, 'BoundingBox');
boundingBoxes = vertcat(props.BoundingBox); % List of [xLeft, yTop, width, height] values. Each row is a different blob.

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Image Analyst
Image Analyst el 22 de Sept. de 2022
Movida: Image Analyst el 23 de Sept. de 2022
OK @sarvan_keep you haven't answered either of us so I guess you must be having great difficulty. So attached is a full demo that identifies the letters, put boxes around them, and also crops out the bounding boxes into new sub images. You can then process each sub image (like do OCR on it) or save it to disk, whatever you want.
Another thing left to do is to merge bounding boxes of small blobs, like dots above the i, into the nearest other box. But I'm sure you can do that. There is a variety of ways to do that.
Please respond.
  11 comentarios
Dhuwaragish Ravichandrakumar
Dhuwaragish Ravichandrakumar el 21 de Dic. de 2022
@Image Analyst Can I get your help with understanding on how to plot a 1D graph which shows the variations of the black and white stripes within the boundingbox
Image Analyst
Image Analyst el 21 de Dic. de 2022
I can try. Let's start a new discussion thread so we don't hijack @sarvan_keep's thread and bombard him with unrelated emails. I'll let you post the completely new question in your own thread. If the title is something image related, I'll see it.
If you have any more questions, then attach your data and code to read it in with the paperclip icon after you read this:

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Más respuestas (1)

Matt J
Matt J el 21 de Sept. de 2022
Editada: Matt J el 21 de Sept. de 2022
You should be comparing BoundingBox(1) with ImageSize(2)
image = imread('https://www.mathworks.com/matlabcentral/answers/uploaded_files/1132160/image.jpeg');
image_comp = im2gray(imcomplement(image));
image1 = imbinarize(image_comp);
connected = bwconncomp(image1);
imshow(image1);
props = regionprops(connected, 'BoundingBox');
for i = 1:connected.NumObjects
if(props(i).BoundingBox(1) > connected.ImageSize(2))
rectangle('Position', props(i).BoundingBox,'EdgeColor', [0, 1, 0], 'LineWidth', 2)
continue;
end
rectangle('Position', props(i).BoundingBox,'EdgeColor', [1, 0, 0], 'LineWidth', 2)
end
  3 comentarios
sarvan_keep
sarvan_keep el 23 de Sept. de 2022
Thank you so much. I realised my mistake. Got my dimensions wrong. And thank you for the shortcut on cropping the images out. That really helped.
Matt J
Matt J el 23 de Sept. de 2022
You're welcome, but please Accept-click the answer to indicate that it addressed your question.

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