Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Sparse regularization-based reconstruction for 3D flame chemiluminescence tomography

Not Accessible

Your library or personal account may give you access

Abstract

Flame chemiluminescence tomography (FCT) is a non-intrusive method that is based on using cameras to measure projections, and it plays a crucial role in combustion diagnostics and measurement. Mathematically, the inversion problem is ill-posed, and in the case of limited optical accessibility in practical applications, it is rank deficient. Therefore, the solution process should ideally be supported by prior information, which can be based on the known physics. In this work, the total variation (TV) regularization has been combined with the well-known algebraic reconstruction technique (ART) for practical FCT applications. The TV method endorses smoothness while also preserving typical flame features such as the flame front. Split Bregman iteration has been adopted for TV minimization. Five different noise conditions and the chosen regularization parameter have been tested in numerical studies. Additionally, for the 12 perspectives, an experimental FCT system is demonstrated, which is utilized to recover the three-dimensional (3D) chemiluminescence distribution of candle flames. Both the numerical and experimental studies show that the typical line artifacts that appear with the conventional ART algorithm when recovering the continuous chemiluminescence field of the flames are significantly reduced with the proposed algorithm.

© 2021 Optical Society of America

Full Article  |  PDF Article
More Like This
Three-dimensional rapid flame chemiluminescence tomography via deep learning

Ying Jin, Wanqing Zhang, Yang Song, Xiangju Qu, Zhenhua Li, Yunjing Ji, and Anzhi He
Opt. Express 27(19) 27308-27334 (2019)

Hybrid algorithm for three-dimensional flame chemiluminescence tomography based on imaging overexposure compensation

Ying Jin, Yang Song, Xiangju Qu, Zhenhua Li, Yunjing Ji, and Anzhi He
Appl. Opt. 55(22) 5917-5923 (2016)

Instantaneous 3D imaging of highly turbulent flames using computed tomography of chemiluminescence

Khadijeh Mohri, Simon Görs, Jonathan Schöler, Andreas Rittler, Thomas Dreier, Christof Schulz, and Andreas Kempf
Appl. Opt. 56(26) 7385-7395 (2017)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (12)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Tables (1)

You do not have subscription access to this journal. Article tables are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Equations (21)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved