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

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.

Answer 1

[KSSV]

Get the locations of the points using find..group them and use mean to each group. YOu will get a single point.

[SYED AQEEL HAIDER]

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

Answer 2

[Image Analyst]

You can use kmeans() if you have the Statistics and Machine Learning Toolbox. It will give you the cluster centroids.