CODEWITHSUNDEEP
matlabopencvcluster-analysispoint-clouds
askingtoomuch
askingtoomuch

Reputation: 537

Point cloud, cluster, blob detection

I have a binary image full noises. I detected the objects circled in red using median filter B = medfilt2(A, [m n])(Matlab) or medianBlur(src, dst, ksize)(openCV). Could you suggest other methods to detect those objects in a more "academic" way, e.g probabilistic method, clustering, etc? enter image description here

Upvotes: 1

Views: 2454

Answers (2)

Has QUIT--Anony-Mousse
Has QUIT--Anony-Mousse

Reputation: 77474

This example looks like the very scenario DBSCAN was designed for. Lots of noise, but with a well understood density, and clusters with much higher density but arbitrary shape.

Upvotes: 1

madbitloman
madbitloman

Reputation: 826

You can use any sort of clustering here and can start from k-means one. You can find a pretty good example from Matlab to start with.

Upvotes: 1

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