Using Image Processing for Flame Diagnostics

Lundberg, Joachim; Henriksen, Mathias; Gaathaug, André Vagner

doi:10.3384/ecp17138168

Cited by 4 publications

(7 citation statements)

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“…Predictor importance in defining the ITRs was examined using the kernel Shapley Additive Explanations (SHAP) method implemented in the fastshap package in R (eMethods in Supplement 2). The SHAP method is a general-purpose approach to examine predictor importance in any machine learning prediction model, not only in models used to develop ITRs.…”

Section: Methodsmentioning

confidence: 99%

A Precision Treatment Model for Internet-Delivered Cognitive Behavioral Therapy for Anxiety and Depression Among University Students

et al. 2023

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ImportanceGuided internet-delivered cognitive behavioral therapy (i-CBT) is a low-cost way to address high unmet need for anxiety and depression treatment. Scalability could be increased if some patients were helped as much by self-guided i-CBT as guided i-CBT.ObjectiveTo develop an individualized treatment rule using machine learning methods for guided i-CBT vs self-guided i-CBT based on a rich set of baseline predictors.Design, Setting, and ParticipantsThis prespecified secondary analysis of an assessor-blinded, multisite randomized clinical trial of guided i-CBT, self-guided i-CBT, and treatment as usual included students in Colombia and Mexico who were seeking treatment for anxiety (defined as a 7-item Generalized Anxiety Disorder [GAD-7] score of ≥10) and/or depression (defined as a 9-item Patient Health Questionnaire [PHQ-9] score of ≥10). Study recruitment was from March 1 to October 26, 2021. Initial data analysis was conducted from May 23 to October 26, 2022.InterventionsParticipants were randomized to a culturally adapted transdiagnostic i-CBT that was guided (n = 445), self-guided (n = 439), or treatment as usual (n = 435).Main Outcomes and MeasuresRemission of anxiety (GAD-7 scores of ≤4) and depression (PHQ-9 scores of ≤4) 3 months after baseline.ResultsThe study included 1319 participants (mean [SD] age, 21.4 [3.2] years; 1038 women [78.7%]; 725 participants [55.0%] came from Mexico). A total of 1210 participants (91.7%) had significantly higher mean (SE) probabilities of joint remission of anxiety and depression with guided i-CBT (51.8% [3.0%]) than with self-guided i-CBT (37.8% [3.0%]; P = .003) or treatment as usual (40.0% [2.7%]; P = .001). The remaining 109 participants (8.3%) had low mean (SE) probabilities of joint remission of anxiety and depression across all groups (guided i-CBT: 24.5% [9.1%]; P = .007; self-guided i-CBT: 25.4% [8.8%]; P = .004; treatment as usual: 31.0% [9.4%]; P = .001). All participants with baseline anxiety had nonsignificantly higher mean (SE) probabilities of anxiety remission with guided i-CBT (62.7% [5.9%]) than the other 2 groups (self-guided i-CBT: 50.2% [6.2%]; P = .14; treatment as usual: 53.0% [6.0%]; P = .25). A total of 841 of 1177 participants (71.5%) with baseline depression had significantly higher mean (SE) probabilities of depression remission with guided i-CBT (61.5% [3.6%]) than the other 2 groups (self-guided i-CBT: 44.3% [3.7%]; P = .001; treatment as usual: 41.8% [3.2%]; P &lt; .001). The other 336 participants (28.5%) with baseline depression had nonsignificantly higher mean (SE) probabilities of depression remission with self-guided i-CBT (54.4% [6.0%]) than guided i-CBT (39.8% [5.4%]; P = .07).Conclusions and RelevanceGuided i-CBT yielded the highest probabilities of remission of anxiety and depression for most participants; however, these differences were nonsignificant for anxiety. Some participants had the highest probabilities of remission of depression with self-guided i-CBT. Information about this variation could be used to optimize allocation of guided and self-guided i-CBT in resource-constrained settings.Trial RegistrationClinicalTrials.gov Identifier: NCT04780542

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Section: Methodsmentioning

confidence: 99%

A Precision Treatment Model for Internet-Delivered Cognitive Behavioral Therapy for Anxiety and Depression Among University Students

et al. 2023

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“…And the blue and green color-channel components are used to obtain flame color spectrum measurements CH * and C * 2 concentrations, respectively. The algorithm allows us to calculate a mask only for the green color channel; however, without information loss, the same mask is used for the blue color channel [27]. In this way, the algorithm can be stated in the following steps: 2.2.1.1.…”

Section: Image Processing Algorithm To Obtain the Visible Colormentioning

confidence: 99%

“…Optical techniques for measuring flame temperature, an important characteristic to determine the performance of a combustion process, includes two-color pyrometry [2]; imaging three-color [3], schlieren [4,5], shadowgraph [4], laser speckle photography [6][7][8][9][10], digital holography [11][12][13], interferometric [14,15] and laser-induced fluorescence methods [16][17][18]. Another essential feature extensively used for combustion diagnostic has been chemiluminescence since it provides chemical information of the combustion processes and can be used to obtain the parameters for the burner conditions, too [18][19][20][21][22][23][24][25][26][27][28].…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…For practical combustion systems, many research works have found a correlation between chemiluminescence and parameters such as fuel type, flow rate, and the equivalence ratio [19][20][21][22][23][24][25][26][27][28]. Digital color cameras play an essential role in chemiluminescence measurements, and there is an array of studies where combustion flames chemiluminescence has been related to an image of a color digital camera [23][24][25][26][27][28]. In a color digital camera, the intensity values are given by red, green, and blue (rgb) colors that are separated in their respective color-channel, where each channel provides specific information about the object under analysis.…”

Section: Introductionmentioning

confidence: 99%

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Simultaneous measurement of temperature and color spectrum of axisymmetric premixed flames using digital laser speckle photography and an image processing approach

Zamarripa-Ramírez¹,

Moreno-Hernández²,

Martínez-González³

2021

Meas. Sci. Technol.

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The efficiency of different fuels in combustion processes has been an ongoing quest. Temperature measurements and color spectrum of premixed combustion flames are the accepted parameters to study. This work's aim is to do so simultaneously, with a very simple setup and saving computational resources. This method does not ask to synchronize two sets of measurements, avoid the need for complicated setup alignments, and use a single digital camera. Instead, the temperature and color spectrum are measured simultaneously using digital laser speckle photography and an image processing approach. The recorded data for both measurements are acquired using only a color digital camera, where the red (r) color channel is used to record data for temperature measurements, and the blue (b) and green (g) color channels are utilized to record the flames' color spectrum. To calculate the flames' temperature field, the Abel inversion technique was carried out, while the image processing required crosstalk image correction, image segmentation, and image filtering. The crosstalk image correction is the main feature that establishes an unequivocal relationship between image color and color spectrum of flames. The technique was tested on flames produced with a liquefied petroleum gas fed torch using different equivalence ratios. The temperature values obtained with this method are in good agreement with those obtained with a thermocouple.

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Flame lift-off detector based on deep learning neural networks

Gharib,

Tischer,

Schulze

et al. 2024

Combustion and Flame

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Using Image Processing for Flame Diagnostics

Abstract: An image processing routine was developed to determine the flame height of a hydrogen jet flame. Two different techniques was tested, where one where based on Wiens distribution of a black body and one based on intensity of the flame. The method based on intensity gave the best results.

Cited by 4 publications

References 4 publications

A Precision Treatment Model for Internet-Delivered Cognitive Behavioral Therapy for Anxiety and Depression Among University Students

A Precision Treatment Model for Internet-Delivered Cognitive Behavioral Therapy for Anxiety and Depression Among University Students

Simultaneous measurement of temperature and color spectrum of axisymmetric premixed flames using digital laser speckle photography and an image processing approach

Flame lift-off detector based on deep learning neural networks

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