Research on smoke edge detection algorithm based on structure similarity index measure

Jianan Lin

doi:10.1117/12.3004078

11 October 2023 Research on smoke edge detection algorithm based on structure similarity index measure

Jianan Lin

Proceedings Volume 12800, Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023); 1280016 (2023) https://doi.org/10.1117/12.3004078
Event: 6th International Conference on Computer Information Science and Application Technology (CISAT 2023), 2023, Hangzhou, China

Abstract

In the development of modern industry and the harmonious coexistence of human society and nature, fires often occur due to various accidents and negligence. Such accidents are extremely detrimental to social development. Compared to traditional smoke detectors, video-based smoke detection can achieve non-contact detection without the need for sensor installation, reducing equipment costs and installation difficulties, making it an important development direction. Video smoke detection based on SSIM (Structure Similarity Index Measure) has the advantage of being simple and easy to implement and can perform well in some simple scenarios. However, it may have a high rate of false positives in complex scenes. Therefore, in this paper, the algorithm is improved by using texture features for further detection, improving the accuracy of detection and increasing the innovation of the algorithm. The experiments show that the improved algorithm achieves good results.

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

Citation Download Citation

Jianan Lin "Research on smoke edge detection algorithm based on structure similarity index measure", Proc. SPIE 12800, Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023), 1280016 (11 October 2023); https://doi.org/10.1117/12.3004078

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