Simple Linear Iterative Clustering

Superpixels based on k-means clustering
Regions size
Size of a region side
name: cluster-size type: int default: 32 minimum: 2 maximum: +inf ui-minimum: 2 ui-maximum: 1024 ui-gamma: 1.00 ui-step-small: 1 ui-step-big: 100
Cluster size
name: compactness type: int default: 20 minimum: 1 maximum: 40 ui-minimum: 1 ui-maximum: 40 ui-gamma: 1.00 ui-step-small: 1 ui-step-big: 5
Number of iterations
name: iterations type: int default: 1 minimum: 1 maximum: 30 ui-minimum: 1 ui-maximum: 15 ui-gamma: 1.00 ui-step-small: 1 ui-step-big: 5
name: gegl:slic
pads: input output
parent-class: GeglOperationFilter
categories: color segmentation
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.