filters.cluster¶
The Cluster filter first performs Euclidean Cluster Extraction on the input
PointView
and then labels each point with its associated cluster ID.
It creates a new dimension ClusterID
that contains the cluster ID value.
Cluster IDs start with the value 1. Points that don’t belong to any
cluster will are given a cluster ID of 0.
Example¶
[
"input.las",
{
"type":"filters.cluster"
},
{
"type":"writers.bpf",
"filename":"output.bpf",
"output_dims":"X,Y,Z,ClusterID"
}
]
Options¶
- min_points
- Minimum number of points to be considered a cluster. [Default: 1]
- max_points
- Maximum number of points to be considered a cluster. [Default: 2^64 - 1]
- tolerance
- Cluster tolerance - maximum Euclidean distance for a point to be added to the cluster. [Default: 1.0]