Point-based morphological opening with input data retrieval

Point-based morphological opening with input data retrieval

Balado Frías, J. (TU Delft GIS Technologie; CINTECX)
van Oosterom, P.J.M. (TU Delft GIS Technologie)
Díaz-Vilarino, L. (TU Delft GIS Technologie; CINTECX)
Lorenzo, H. (CINTECX)

2021

Mathematical morphology is a technique recently applied directly for point cloud data. Its working principle is based on the removal and addition of points from an auxiliary point cloud that acts as a structuring element. However, in certain applications within a more complex process, these changes to the original data represent an unacceptable loss of information. The aim of this work is to provide a modification of the morphological opening to retain original points and attributes. The proposed amendment involved in the morphological opening: erosion followed by dilatation. In morphological erosion, the new eroded points are retained. In morphological dilation, the structuring element does not add its points directly, but uses the point positions to search through the previously eroded points and retrieve them for the dilated point cloud. The modification was tested on synthetic and real data, showing a correct performance at the morphological level, and preserving the precision of the original points and their attributes. Furthermore, the conservation is shown to be very relevant in two possible applications such as traffic sign segmentation and occluded edge detection.

Detection
Image Processing
LiDAR
Mathematical Morphology
Point Cloud Processing
Segmentation

http://resolver.tudelft.nl/uuid:62c55aaf-4ab4-468a-b35a-27a331037965

https://doi.org/10.5194/isprs-annals-VIII-4-W2-2021-53-2021

2194-9042

ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, 8 (4/W2-2021), 53-58

16th 3D GeoInfo Conference 2021, 2021-10-11 → 2021-10-14, New York City, United States

Institutional Repository

journal article

© 2021 J. Balado Frías, P.J.M. van Oosterom, L. Díaz-Vilarino, H. Lorenzo