KLETECH MOTORSPORTS asked . 2024-02-08

How do you find the centroid of a particular Blob?

I have the following code:

clc;
clear all;
% This part reads and shows the image selected
I = imread('115.2.jpg');
imshow(I)
% Ginput is used to select the Hinge position
[x,y] = ginput(1)
% drawpoint is used to mark the Hinge position
h = drawpoint('Position',[x y]);   
% Convert the RGB image to a Grayscale image
G=im2gray(I);
level = graythresh(G)
% Binarize the grayscale image
BW = imbinarize(G,level);


% Display the Grayscale image
figure 
title('Grayscale Image')
imshow(G)
% Display the Binarized image
figure 
title('Binarized')
imshow(BW)

% Fill holes
BW2 = imfill(BW,'holes');
% Display the Image after filling holes
figure 
imshow(BW2)
title('Filled Image')
% Mark the Hinge here as well
h = drawpoint('Position',[x y]);
imwrite(BW2, 'BW2.jpg')

% Find the centroid
measurements = regionprops(BW2, 'Centroid');
imshow(BW2);
centroids = cat(1,measurements.Centroid);
hold on;
plot(centroids(:,1), centroids(:,2), 'r+', 'MarkerSize', 30, 'LineWidth', 1);
hold off;

where the image 115.2 is

And on running that code, I get:

How do I find the coordinates of the centroid of the rectangular blob? How do i neglect all centroids except the centroid of the rectangular blob?

blob , blob analysis , Image Processing and Computer Vision , Image Processing Toolbox , Image Segme

Expert Answer

Kshitij Singh answered . 2024-12-21 01:26:08

Since you're working with a binary image here, BW2, you can use the bwpropfilt function to clean up the small areas.

BW2 = bwpropfilt(BW2, 'Area', 1);

The last input argument determines the largest # of regions to keep, so it can be lowered to just the one. From there regionprops would only detect the single centroid.

You could also pass area as an input to regionprops as it is and use the centroid of the largest area.

measurements = regionprops(BW2, 'Centroid', 'Area');
[~,ind] = max(cat(1,measurements.Area));
centroid = measurements(ind).Centroid;

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