A robust line segment detection method combining geometric properties of line segments

Xingxing Zhang; Changyu Hu; Ling Wang

doi:10.1117/12.3008041

14 November 2023 A robust line segment detection method combining geometric properties of line segments

Xingxing Zhang, Changyu Hu, Ling Wang

Author Affiliations +

Proceedings Volume 12934, Third International Conference on Computer Graphics, Image, and Virtualization (ICCGIV 2023); 129340M (2023) https://doi.org/10.1117/12.3008041
Event: 2023 3rd International Conference on Computer Graphics, Image and Virtualization (ICCGIV 2023), 2023, Nanjing, China

Abstract

In on-orbit control missions, it is important to use more stable line segment features to measure the pose information of the space target. However, traditional line segment detection methods are prone to failure under complex space illumination environments. To address this, we propose a robust line segment detection method combining geometric properties of line segments. This method improves the anchor extraction algorithm by using the inherent properties of the line segment. In the line segment validation stage, the line segment is verified by two steps. The Helmholtz method is introduced to verify the initial line segment and the line segment is further verified by the anchor density of the line segment. We verify the effectiveness of the proposed method by using visible image data collected on a semi-physical simulation platform and find that the proposed method is superior to the traditional line segment detection methods in terms of accuracy.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xingxing Zhang, Changyu Hu, and Ling Wang "A robust line segment detection method combining geometric properties of line segments", Proc. SPIE 12934, Third International Conference on Computer Graphics, Image, and Virtualization (ICCGIV 2023), 129340M (14 November 2023); https://doi.org/10.1117/12.3008041

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KEYWORDS

Image segmentation

Target detection

Light sources and illumination

Environmental sensing

Computer simulations

Detection and tracking algorithms

Pose estimation

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