Filter Use in SCENE to Scan Data Noise and Increase Quality
Overview
During the data collection process, your own set of acceptability parameters determines if a scan is usable or not. Scan points outside of the acceptability parameters are considered “noise.” In order to reduce noise and improve overall scan data quality, you may apply filters to the scan data file. Here is a list of the filters you can apply and a description of what they do.
- Outlier removes scan points resulting from hitting two objects with the laser spot or by hitting no object at all, for example the sky.
- Stray has the same application field as the outlier filter, but performs better with edges.
- Dark Scan Points removes scan points with a low Reflective return value.
- Distance Based removes scan points that are a specified distance range from the laser scanner.
- Smooth moves points to fit to the average of surrounding points.
For more information about filters view, click here to download a PowerPoint presentation about working with scan data and filters.
Video
In this 10-minute tutorial, a FARO trainer discusses best practices for applying filters to reduce noise in scan data, how filters work, and shows you how to apply filters.
See Also
Keywords:
clean up scans, too many points, dirty scans, remove scan points, change scan points, fuzzy scans, dusty scans, scanning shinny surfaces, edge affect, snow in scans, correcting scans