3D Outlier Filter

Operator Function

Remove outliers from the input point cloud

Input point cloud

Output result

Parameter Introduction

Input Parameters

Parameter	Range	Default Value	Description	Illustration
Input Image	0-8	0	The IM number for image input

Calculation Parameters

Parameter	Range	Default Value	Description	Illustration
Algorithm	Neighborhood-based Outlier Removal/Radius Outlier Removal	Neighborhood-based Outlier Removal
Neighborhood-based Outlier Removal			See Neighborhood-based Outlier Removal
Radius Outlier Removal			See Radius Outlier Removal
Output Image			The IM number for image output

Neighborhood-based Outlier Removal

Parameter	Range	Default Value	Description	Illustration
K-Nearest Neighbors		10	Number of neighboring points to search. When value is large (e.g., 50-100), beneficial for removing outliers outside the overall range. When value is small, beneficial for removing local outliers. Note: Larger k values increase operator processing time; balance between filtering effect and runtime.
Standard Deviation Multiplier		2.000	Coefficient for calculating outlier removal threshold. Smaller values result in smaller distance thresholds, removing more outliers. Recommended adjustment range: 1.0-2.0. Note: Values less than 1.0 should be adjusted cautiously as they may remove many valid points.

Radius Outlier Removal

Parameter	Range	Default Value	Description	Illustration
Search Radius		0.500	Sphere radius for radius search. Larger radius typically increases number of points within radius range. Therefore, this parameter should be adjusted in combination with Minimum Points in Radius. Note: Larger search radius values increase operator processing time accordingly.
Minimum Points in Radius		1	Minimum number of points required within sphere radius; if less than set threshold, current query point will be filtered out. Note: Larger point count thresholds increase operator processing time accordingly.

Output Parameters

Name	Type	Range	Description
Result	bool	true/false	true for success false for failure
Warning	bool	true/false	true indicates there is a warning false indicates there is none
Message	string		Outputs success, error, or warning information; if there is no error or warning, it is empty
Time	float		Operator execution time, unit: ms

Exception Troubleshooting

No.	Template	Parameter	Solution
1	Statistical outlier filtering failed		1. Check if input point cloud is empty 2. Check if k value is less than 0 or greater than 100 3. Check if standard deviation coefficient is less than 0 or greater than 1000
2	Radius filtering failed		1. Check if input point cloud is empty 2. Check if radius is less than 0
3	All points were filtered! Please modify parameters		1. Check if input point cloud is empty 2. Check if ROI position encloses any point cloud 3. Check if point cloud contains invalid values 4. Check if radius coefficient is set too small
4	The input value is {0}, invalid outlier filtering algorithm		Only supports Neighborhood-based outlier removal, Radius outlier removal

Example Introduction

Engineering Design

1. Select the Load 3D Point Cloud tool to load the 3D point cloud image to be processed into IM0.

2. Select two 3D Outlier Filter tools, using different algorithms to filter the point cloud.

Tool Usage

1. Select the input image for operation; the image number must match the IM number where the image is located in the project.

2. Set parameters

3. Click Test to check if the image window and parameters meet expectations

4. If there are no issues, click Save, then run the operator in the run list to view the results in the corresponding IM