- You have obtained the bounding boxes and scores of the detected objects.
- You have selected the bounding box with the highest score.
- You have cropped the image using the selected bounding box to isolate the selected object.
- You have counted the number of white pixels in the selected object.
- You have calculated the size of the object in millimetres by dividing the number of white pixels by the square of the pixels per millimetre.
- You have obtained the size of the object in terms of its dimensions using the size function.
- You have obtained the area of the object by counting the number of elements in the selected object.
How to find size of an object inside the bounding box?
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![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/1637211/image.png)
From the above image I want to find the size of that particular white region? How can we achive that?
i have used the below code
bounding_boxes = bboxes;
s=scores;
% Read the image
image = I;
pixels_per_mm=5;
[max_s,max_idx] =max(s);
selected_box= bounding_boxes(max_idx,:);
selected_object= imcrop(image,selected_box);
num_white_pixels=sum(selected_object(:) ==255);
object_size_mm = num_white_pixels / pixels_per_mm^2;
object_size = size(selected_object);
object_are= numel(selected_object);
i got output. But i dont know wheather it is correct approach or not?
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Réponses (1)
Sanju
le 11 Mar 2024
I understand that you have developed a code to find the size of the white region in the selected object, the approach you have taken seems to be correct.
Here's a breakdown of the steps you have followed,
Overall, your approach seems reasonable for finding the size of the white region in the selected object.
Note: it's important to validate it based on the specific requirements of your application and the characteristics of your images.
Hope this Helps!
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