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In image processing, how do region growing and clustering differ from each other? There are many papers like clustering based on region growing. I couldn't able to draw a fine line between these two concepts.

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  • $\begingroup$ Is this a homework question? $\endgroup$ – Phonon Feb 26 '14 at 0:21
  • $\begingroup$ no it is not.. I was reading region growing 2 days back, now while reading clustering techniques (k-means), it also looks similar to me. In region growing, we have seed points. In k-means clustering, we have means values to start with. So I would like to know the difference $\endgroup$ – Premnath D Feb 26 '14 at 0:25
  • $\begingroup$ Have you Googled it? $\endgroup$ – Phonon Feb 26 '14 at 0:34
  • $\begingroup$ yes, I did. It tells that region growing comes under clustering. There are many papers like clustering based on region growing. I couldn't able to draw a fine line between these two concepts. That is why asked more information on how they differ from each other $\endgroup$ – Premnath D Feb 26 '14 at 0:37
  • $\begingroup$ K-means does not take into account the spatial distribution of, for example, pixels in an image. Region growing does since it looks for nearby similar pixels. $\endgroup$ – KAE May 23 '18 at 13:27

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