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Open AccessArticle

An Evaluation Framework for Spectral Filter Array Cameras to Optimize Skin Diagnosis

1
The Norwegian Colour and Visual Computing Laboratory, Norwegian University of Science and Technology (NTNU), 2815 Gjøvik, Norway
2
Biomedical Photonics and Imaging group, Faculty of Science and Technology, University of Twente, 7522NB Enschede, The Netherlands
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(21), 4805; https://doi.org/10.3390/s19214805
Received: 10 September 2019 / Revised: 31 October 2019 / Accepted: 1 November 2019 / Published: 5 November 2019
(This article belongs to the Section Biomedical Sensors)
Comparing and selecting an adequate spectral filter array (SFA) camera is application-specific and usually requires extensive prior measurements. An evaluation framework for SFA cameras is proposed and three cameras are tested in the context of skin analysis. The proposed framework does not require application-specific measurements and spectral sensitivities together with the number of bands are the main focus. An optical model of skin is used to generate a specialized training set to improve spectral reconstruction. The quantitative comparison of the cameras is based on reconstruction of measured skin spectra, colorimetric accuracy, and oxygenation level estimation differences. Specific spectral sensitivity shapes influence the results directly and a 9-channel camera performed best regarding the spectral reconstruction metrics. Sensitivities at key wavelengths influence the performance of oxygenation level estimation the strongest. The proposed framework allows to compare spectral filter array cameras and can guide their application-specific development. View Full-Text
Keywords: spectral filter array; multispectral imaging; biomedical optics; image quality; reflectance spectroscopy; oxygenation; tissue optics spectral filter array; multispectral imaging; biomedical optics; image quality; reflectance spectroscopy; oxygenation; tissue optics
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MDPI and ACS Style

Bauer, J.R.; Thomas, J.-B.; Hardeberg, J.Y.; Verdaasdonk, R.M. An Evaluation Framework for Spectral Filter Array Cameras to Optimize Skin Diagnosis. Sensors 2019, 19, 4805.

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