Color Image Segmentation with Dbscan

KNIME Extensions
1

Hi,

I am about to finde clusters in a image with the DBScan. To do so I have tried to adapt the workflow of christian.dietz from the entry “Applying cluster nodes on images”. Basically, I want to do what’s described here: [PDF] Color image segmentation using density-based clustering | Semantic Scholar
As I understand it, the main differences are that it is done by using HSV/HSB and that i want to use DBScan instead of k-means. Here is a example what it should look like:

example_Clusters
example_Clusters614×546 64.3 KB

I just replaced the k-means node with numeric distances and DBSCAN but it not working. Is that even the right approach?

Thanks for advice.

2

DBSCAN is recommended to look for outliers. Is it your case?

3

Yes I need to do it with DBscan

4

This topic was automatically closed 90 days after the last reply. New replies are no longer allowed.