Region Growing Point Cloud Segmentation
Function: Point cloud segmentation based on regional growth
Input Parameters:
| Name | Type | Valid Range | Default Value | Meaning |
|---|---|---|---|---|
Pointcloud |
NormalPoints |
None |
None |
Input point cloud |
Output Parameters:
| Name | Type | Valid Range | Default Value | Meaning |
|---|---|---|---|---|
Split point cloud |
NormalPoints |
None |
None |
Return to split point cloud |
Parameter Settings:
| Name | Type | Valid Range | Default Value | Meaning |
|---|---|---|---|---|
Proximity points |
Integer |
[0, 100000] |
5 |
KNN proximity point searches |
Normal difference threshold |
Float |
[0, 180] |
10 |
Maximum normal difference threshold between each neighbor and reference point, angle |
Difference threshold |
Float |
[0, 100000] |
10 |
The vector of each adjacent point and the reference point projects a length difference threshold in the normal direction of the reference point, less than which is considered a seed point |
Clustering minimum points |
Integer |
[1, 4000000] |
1 |
Minimum number of Point Cloud Points per Cluster |
Clustering max points |
Integer |
[1, 4000000] |
4000000 |
Maximum number of Point Cloud Points per Cluster |
Enable sorting |
Bool |
None |
True |
Sort all output point clouds by number of point clouds from largest to smallest |
Enable node |
Bool |
None |
True |
Turn on node functionality |
Retain all results |
Bool |
[True, False] |
True |
For each input point cloud, whether to output all the split results, if false, the specified number of results will be retained |