How to detect Black object centers in binary image without inverse it using connected component label

Question

Bharath AS 2019-2-26

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/447050-how-to-detect-black-object-centers-in-binary-image-without-inverse-it-using-connected-component-labe

回答： Gautam 2024-9-18，8:08

Capture.PNG

Hi Folks,

I am trying to detect the black object centers (circles centers) from binary image (background is white and the foreground is black) .But connected component works for black background and white foreground .one condition is ,i dont want to take inverse of binary image and then apply connected comp label .. Is any way to find centers of black circles ?

i have attached my binarized image please have alook

Please help me out.....

Thank u

0 个评论
显示 -2更早的评论隐藏 -2更早的评论

请先登录，再进行评论。

请先登录，再回答此问题。

Answer 1

Gautam 2024-9-18，8:08

0
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/447050-how-to-detect-black-object-centers-in-binary-image-without-inverse-it-using-connected-component-labe#answer_1518515

在 MATLAB Online 中打开

Hello Bharat,

You can use connected components without inverting the image by just inverting the logic of the image while passing it to the “bwconncomp” function

cc = bwconncomp(binaryImage == 0);

The code below uses this approach to find the centers of the circles in the binary image that you have attached

binaryImage = imread("Capture.png");

% Invert the image logic (without actually inverting the image data) 
% Treat 0 (black) as the object 
cc = bwconncomp(binaryImage == 0); 
% Calculate the centroids of the connected components 
stats = regionprops(cc, 'Centroid'); 
% Extract centroids 
centroids = cat(1, stats.Centroid); 
% Display the results 
imshow(binaryImage); 
hold on; 
plot(centroids(2:end,1), centroids(2:end,2), 'r*', 'MarkerSize', 10); 
title('Detected Centers of Black Circles'); 
hold off; 