Burst point of projectile instance segmentation method based on improved SOLOv2

Xinan Lian; Dong Chen; Xiaowei Yan

doi:10.1117/12.3026726

27 March 2024 Burst point of projectile instance segmentation method based on improved SOLOv2

Xinan Lian, Dong Chen, Xiaowei Yan

Proceedings Volume 13105, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023); 131053M (2024) https://doi.org/10.1117/12.3026726
Event: 3rd International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023), 2023, Qingdao, China

Abstract

In the field of image processing, particularly in the realm of analyzing bomb blast sites, the speed and accuracy of fine-grained segmentation have been longstanding concerns. To address these challenges, this study proposes an innovative approach based on an enhanced version of the SOLOv2 framework. By integrating low-level feature information extracted from the backbone network into the prediction network, and replacing top-level feature extraction with sub-top-level information, both the segmentation speed and accuracy of bomb blast sites are significantly improved. The experimental results demonstrate that the enhanced SOLOv2 achieves a segmentation speed of 20.35 frames per second (FPS) for small-scale blast sites, with a 3.21 improvement in precision. Notably, the average accuracy of blast site segmentation reaches an impressive 39.56. The segmentation test results robustly indicate that the enhanced SOLOv2 not only ensures efficient segmentation of small-scale bomb blast sites, but also enhances overall segmentation accuracy, thereby highlighting its superior segmentation performance.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xinan Lian, Dong Chen, and Xiaowei Yan "Burst point of projectile instance segmentation method based on improved SOLOv2", Proc. SPIE 13105, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023), 131053M (27 March 2024); https://doi.org/10.1117/12.3026726

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
8 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Image segmentation

Explosives

Mathematical optimization

Bombs

Feature extraction

Performance modeling

Object detection

Show All Keywords

Keywords/Phrases

Search In:

Publication Years