K-means Segmentation

Segment colors using K-means clustering
Number of clusters
Number of clusters
name: n-clusters type: int default: 5 minimum: 2 maximum: 255 ui-minimum: 2 ui-maximum: 30 ui-gamma: 1.00 ui-step-small: 1 ui-step-big: 5
Max. Iterations
Maximum number of iterations
name: max-iterations type: int default: 5 minimum: 1 maximum: +inf ui-minimum: 1 ui-maximum: 30 ui-gamma: 1.00 ui-step-small: 1 ui-step-big: 5
Random seed
name: seed type: seed default: 0 minimum: 0 maximum: +inf
name: gegl:segment-kmeans
pads: input output
parent-class: GeglOperationFilter
categories: color segmentation
source: operations/workshop/segment-kmeans.c
GEGL This page is part of the online GEGL Documentation, GEGL is a data flow based image processing library/framework, made to fuel GIMPs high-bit depth non-destructive editing future.