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Proceedings Paper

Spectral image reconstruction by a tunable LED illumination
Author(s): Meng-Chieh Lin; Chen-Wei Tsai; Chung-Hao Tien
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Paper 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.

Paper Details

Date Published: 23 September 2013
PDF: 9 pages
Proc. SPIE 8870, Imaging Spectrometry XVIII, 88700C (23 September 2013); doi: 10.1117/12.2023263
Show Author Affiliations
Meng-Chieh Lin, National Chiao-Tung Univ. (Taiwan)
Chen-Wei Tsai, National Chiao Tung Univ. (Taiwan)
Chung-Hao Tien, National Chiao Tung Univ. (Taiwan)


Published in SPIE Proceedings Vol. 8870:
Imaging Spectrometry XVIII
Pantazis Mouroulis; Thomas S. Pagano, Editor(s)

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