I understand that you have the image which is having all the blue bounding boxes and you are looking for a method to extract all the different bounding boxes as a seperate image.
To crop multiple bounding boxes from an image and save each crop as a separate image, you can follow the steps outlined below. This example assumes you have the coordinates of the bounding boxes in the format [x, y, width, height], where (x, y) are the coordinates of the top-left corner of the bounding box.
Here's a basic MATLAB script that demonstrates how to do this:
% Load the image
image = imread('path_to_your_image.jpg');
% Assuming you have 3 bounding boxes for demonstration
boundingBoxes = [
100, 50, 120, 150; % Box 1
250, 75, 100, 125; % Box 2
400, 100, 150, 200; % Box 3
];
% Number of bounding boxes
numBoxes = size(boundingBoxes, 1);
% Loop through each bounding box and crop the image
for i = 1:numBoxes
bbox = boundingBoxes(i, :);
x = bbox(1);
y = bbox(2);
width = bbox(3);
height = bbox(4);
% Crop the image based on the bounding box
croppedImage = imcrop(image, [x, y, width, height]);
% Save the cropped image
croppedImageFilename = sprintf('cropped_image_%d.jpg', i);
imwrite(croppedImage, croppedImageFilename);
end
I hope it helps!
