Spectral image reconstruction by a tunable LED illumination

Meng-Chieh Lin; Chen-Wei Tsai; Chung-Hao Tien

doi:10.1117/12.2023263

23 September 2013 Spectral image reconstruction by a tunable LED illumination

Meng-Chieh Lin, Chen-Wei Tsai, Chung-Hao Tien

Proceedings Volume 8870, Imaging Spectrometry XVIII; 88700C (2013) https://doi.org/10.1117/12.2023263
Event: SPIE Optical Engineering + Applications, 2013, San Diego, California, United States

Abstract

Spectral reflectance estimation of an object via low-dimensional snapshot requires both image acquisition and a post numerical estimation analysis. In this study, we set up a system incorporating a homemade cluster of LEDs with spectral modulation for scene illumination, and a multi-channel CCD to acquire multichannel images by means of fully digital process. Principal component analysis (PCA) and pseudo inverse transformation were used to reconstruct the spectral reflectance in a constrained training set, such as Munsell and Macbeth Color Checker. The average reflectance spectral RMS error from 34 patches of a standard color checker were 0.234. The purpose is to investigate the use of system in conjunction with the imaging analysis for industry or medical inspection in a fast and acceptable accuracy, where the approach was preliminary validated.

Citation Download Citation

Meng-Chieh Lin, Chen-Wei Tsai, and Chung-Hao Tien "Spectral image reconstruction by a tunable LED illumination", Proc. SPIE 8870, Imaging Spectrometry XVIII, 88700C (23 September 2013); https://doi.org/10.1117/12.2023263

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