Flame Image Processing using MATLAB Tools (Demo)

Version 1.2.0 (11.6 MB) by Réka Kardos
This tutorial describes basic image processing steps focusing on transient hydrogen-assisted flames.
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Updated 3 Sep 2024

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This demo is provided for "Edge Detection of Hydrogen-assisted Flames: A Critical Evaluation of Several Methods to Locate Blurry, Evolving Objects" MATLAB webinar.
Part 1: Image datastore, preprocessing, intensity histograms, color spaces
Part 2: Image binarization by MATLAB built-in functions (Otsu, adaptive, k-means clustering on RGB and grayscale images)
Part 3: Image segmentation (k-means clustering in different color spaces, mulilevel Otsu thresholding)
Part 4: Reference image method - assessment of binarization techniques
Part 5: Evaluation (flame extensions, intensity histograms after background elimination, global and local statistical measures, structure extraction)
Note: Before starting the demo, copy the "Images" folder to your working folder from: https://energia.bme.hu/~kardos/MATLAB%20Flame%20Image%20Processing%20Demo%20Material/

Cite As

Réka Kardos (2024). Flame Image Processing using MATLAB Tools (Demo) (https://www.mathworks.com/matlabcentral/fileexchange/171939-flame-image-processing-using-matlab-tools-demo), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2024a
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes
1.2.0

The images are available at: https://energia.bme.hu/~kardos/MATLAB%20Flame%20Image%20Processing%20Demo%20Material/
Before starting the demo, copy the "Images" folder to your working folder.
1.1.0

Flame images are added.
1.0.0