A conditioned level-set method with block-division strategy to flame front extraction based on OH-PLIF measurements

doi:10.1088/1674-1056/23/5/058901

中国物理B ›› 2014, Vol. 23 ›› Issue (5): 58901-058901.doi: 10.1088/1674-1056/23/5/058901

• INTERDISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY • 上一篇下一篇

A conditioned level-set method with block-division strategy to flame front extraction based on OH-PLIF measurements

韩乐^a, 蔡国飙^a, 徐旭^a, Renou Bruno^b, Boukhalfa Abdelkrim^b

a School of Astronautics, Beijing University of Aeronautics and Astronautics, Beijing 100191, China;
b UMR 6614 CORIA, INSA de Rouen, Avenue de l'Université, BP 08, 76801 Saint-Etienne du Rouvray, France

收稿日期:2013-11-30 修回日期:2014-01-25 出版日期:2014-05-15 发布日期:2014-05-15

A conditioned level-set method with block-division strategy to flame front extraction based on OH-PLIF measurements

Han Yue (韩乐)^a, Cai Guo-Biao (蔡国飙)^a, Xu Xu (徐旭)^a, Renou Bruno^b, Boukhalfa Abdelkrim^b

a School of Astronautics, Beijing University of Aeronautics and Astronautics, Beijing 100191, China;
b UMR 6614 CORIA, INSA de Rouen, Avenue de l'Université, BP 08, 76801 Saint-Etienne du Rouvray, France

Received:2013-11-30 Revised:2014-01-25 Online:2014-05-15 Published:2014-05-15
Contact: Han Yue E-mail:hanyue@sa.buaa.edu.cn
About author:89.20.-a; 89.20.Ff; 42.62.-b; 42.62.Eh

摘要/Abstract

摘要： A novel approach to extract flame fronts, which is called the conditioned level-set method with block division (CLSB), has been developed. Based on a two-phase level-set formulation, the conditioned initialization and region-lock optimization appear to be beneficial to improve the efficiency and accuracy of the flame contour identification. The original block-division strategy enables the approach to be unsupervised by calculating local self-adaptive threshold values autonomously before binarization. The CLSB approach has been applied to deal with a large set of experimental data involving swirl-stabilized premixed combustion in diluted regimes operating at atmospheric pressures. The OH-PLIF measurements have been carried out in this framework. The resulting images are, thus, featured by lower signal-to-noise ratios (SNRs) than the ideal image; relatively complex flame structures lead to significant non-uniformity in the OH signal intensity; and, the magnitude of the maximum OH gradient observed along the flame front can also vary depending on flow or local stoichiometry. Compared with other conventional edge detection operators, the CLSB method demonstrates a good ability to deal with the OH-PLIF images at low SNR and with the presence of a multiple scales of both OH intensity and OH gradient. The robustness to noise sensitivity and intensity inhomogeneity has been evaluated throughout a range of experimental images of diluted flames, as well as against a circle test as Ground Truth (GT).

关键词: OH-PLIF, flame front extraction, level-set, optical signal processing

Abstract: A novel approach to extract flame fronts, which is called the conditioned level-set method with block division (CLSB), has been developed. Based on a two-phase level-set formulation, the conditioned initialization and region-lock optimization appear to be beneficial to improve the efficiency and accuracy of the flame contour identification. The original block-division strategy enables the approach to be unsupervised by calculating local self-adaptive threshold values autonomously before binarization. The CLSB approach has been applied to deal with a large set of experimental data involving swirl-stabilized premixed combustion in diluted regimes operating at atmospheric pressures. The OH-PLIF measurements have been carried out in this framework. The resulting images are, thus, featured by lower signal-to-noise ratios (SNRs) than the ideal image; relatively complex flame structures lead to significant non-uniformity in the OH signal intensity; and, the magnitude of the maximum OH gradient observed along the flame front can also vary depending on flow or local stoichiometry. Compared with other conventional edge detection operators, the CLSB method demonstrates a good ability to deal with the OH-PLIF images at low SNR and with the presence of a multiple scales of both OH intensity and OH gradient. The robustness to noise sensitivity and intensity inhomogeneity has been evaluated throughout a range of experimental images of diluted flames, as well as against a circle test as Ground Truth (GT).

Key words: OH-PLIF, flame front extraction, level-set, optical signal processing

中图分类号: (Interdisciplinary applications of physics)

89.20.-a

89.20.Ff (Computer science and technology) 42.62.-b (Laser applications) 42.62.Eh (Metrological applications; optical frequency synthesizers for precision spectroscopy)

韩乐, 蔡国飙, 徐旭, Renou Bruno, Boukhalfa Abdelkrim. A conditioned level-set method with block-division strategy to flame front extraction based on OH-PLIF measurements[J]. 中国物理B, 2014, 23(5): 58901-058901.

Han Yue (韩乐), Cai Guo-Biao (蔡国飙), Xu Xu (徐旭), Renou Bruno, Boukhalfa Abdelkrim. A conditioned level-set method with block-division strategy to flame front extraction based on OH-PLIF measurements[J]. Chin. Phys. B, 2014, 23(5): 58901-058901.

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A conditioned level-set method with block-division strategy to flame front extraction based on OH-PLIF measurements

A conditioned level-set method with block-division strategy to flame front extraction based on OH-PLIF measurements

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