How to get only one white dot in place of many scattered neighboring white dots

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I have attached 'm1.jpg' with this queation. I have placed a red colored boxes around the collection of white dots in the image where I want to get only one white dot in replacement of the bunch of white dots. Is there any function or trick you suggest. Please share an automated solution.
m1.jpg

Risposta accettata

KSSV
KSSV il 16 Nov 2018
Get the locations of the points using find..group them and use mean to each group. YOu will get a single point.
  1 Commento
SYED AQEEL HAIDER
SYED AQEEL HAIDER il 20 Nov 2018
I have written this command
I1 = imread('m1.jpg')
[X,Y] = find(I1);
R1 = [X(1),Y(1)]
R2 = [X(2),Y(2)]
and so on till
Rm = [X(m),Y(m)]
now, kindly mention how may I group these points before getting mean

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Image Analyst
Image Analyst il 20 Nov 2018
You can use kmeans() if you have the Statistics and Machine Learning Toolbox. It will give you the cluster centroids.

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