Paper
6 November 2019 Evaluation of the possibility of using RGB image analysis to co-firing process
Author Affiliations +
Proceedings Volume 11176, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019; 111760W (2019) https://doi.org/10.1117/12.2536853
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019, 2019, Wilga, Poland
Abstract
The paper presents comparison image classification method for RGB channels images of combustion biomass and pulverized coal. Presented research is related with 30% weight fraction of the biomass. The object of the study were time series reflecting changes in time of selected flame geometric parameters, in the co-firing pulverized coal and biomass. Defined stable and unstable combustion process stated based on expert. The research was used nine variants of the cofiring process, involving different heat power settings and the air flow rate. The results showed that the red and blue channels should be simultaneously allows to recognize particular state of the combustion process. The obtained results confirm the possibility of RGB image analysis in flame tests when co-firing pulverized coal and biomass.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Daniel Sawicki and Andrzej Kotyra "Evaluation of the possibility of using RGB image analysis to co-firing process", Proc. SPIE 11176, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019, 111760W (6 November 2019); https://doi.org/10.1117/12.2536853
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Combustion

RGB color model

Image processing

Image analysis

Data analysis

Image classification

Process control

RELATED CONTENT

Using PCA in flame vision monitoring system
Proceedings of SPIE (December 16 2014)
Monitoring combustion process with the vision diagnostic system
Proceedings of SPIE (September 11 2015)
Self-controlled moving robot
Proceedings of SPIE (January 09 2008)

Back to Top