Experimental evaluation of segmentation algorithms for corner detection in sonar images

• Type: Article in International Conference Proceedings Book
• Date: 2019

Authors

Pedro L. Oliveira (Author) Other; Bruno Ferreira (Author) FEUP; Nuno Cruz (Author) FEUP

Conference proceedings International

Title: OCEANS 2019 MTS/IEEE Seattle, OCEANS 2019

Pages: 1-10

2019 OCEANS MTS/IEEE Seattle, OCEANS 2019

27 October 2019 through 31 October 2019

Indexing

ISI Web of Knowledge - 0 Citations

Scopus - 0 Citations

Other information

Authenticus ID: P-00R-PX2

DOI: 10.23919/oceans40490.2019.8962756

Abstract (EN): Corners usually appear very distinct from the rest of the scene in a mechanical scanning imaging sonar (MSIS) image, generally characterized by sharp intensities. The detection of corners is particularly useful in human-structured environments such as tanks because the knowledge on their location provides a way to compute the vehicle position. The combination of some basic operations typically used for image segmentation have great potential to detect and localize corners in sonar images automatically. This article proposes and evaluates with experimental data a set of image segmentation algorithms for corner detection in sonar scans. The developed algorithms are evaluated with ground truth, and their performance is analyzed following a few relevant metrics for autonomous navigation.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 10