標題: Spectral image reconstruction by a tunable LED illumination
作者: Lin, Meng-Chieh
Tsai, Chen-Wei
Tien, Chung-Hao
光電工程學系
Department of Photonics
關鍵字: principal component analysis;spectral reconstruction;LED illumination
公開日期: 2013
摘要: 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.
URI: http://hdl.handle.net/11536/23100
http://dx.doi.org/10.1117/12.2023263
ISBN: 978-0-8194-9720-8
ISSN: 0277-786X
DOI: 10.1117/12.2023263
期刊: IMAGING SPECTROMETRY XVIII
Volume: 8870
Appears in Collections:Conferences Paper


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