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Article Dans Une Revue Sensors Année : 2019

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

Jacob Renzo Bauer
Jon Yngve Hardeberg
  • Fonction : Auteur
Rudolf Verdaasdonk
  • Fonction : Auteur

Résumé

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.

Dates et versions

hal-03564401 , version 1 (10-02-2022)

Identifiants

Citer

Jacob Renzo Bauer, Jean-Baptiste Thomas, Jon Yngve Hardeberg, Rudolf Verdaasdonk. An Evaluation Framework for Spectral Filter Array Cameras to Optimize Skin Diagnosis. Sensors, 2019, 19 (21), pp.4805. ⟨10.3390/s19214805⟩. ⟨hal-03564401⟩
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