DocumentCode :
2974367
Title :
Optimized image calibration for spectroscopic systems
Author :
Conde, Olga M. ; De la Cruz, Julán ; Rodriguez-Cobo, Luis ; Mirapeix, Jesús ; Cobo, Adolfo ; López-Higuera, José M.
Author_Institution :
Dept. TEISA, Univ. of Cantabria, Santander, Spain
fYear :
2011
fDate :
28-31 Oct. 2011
Firstpage :
432
Lastpage :
435
Abstract :
A new methodology for optimized and automatic spectral calibration is proposed. It is aimed to work in any spectroscopic system (linear or imaging) and comes to solve uncertainty problems in the quantification of transmittance and absorbance parameters when the detection sensor offers a poor signal to noise ratio. The goal is to automatically crop the spectral range removing those wavelengths where the application of the conventional spectral correction produces errors from a chemical point of view. Two cropping alternatives are presented and compared: one based on a factor related with the dark noise present in the black reference used for the spectral correction, and another related with the allowed variance in the measurement of the white reference of the spectral correction. The proposed procedures will enhance the performance of automatic wavelength and feature selection algorithms.
Keywords :
calibration; geophysical image processing; image sensors; spectroscopy; absorbance parameter; automatic spectral calibration; automatic wavelength performance enhancement; black reference; dark noise; detection sensor; feature selection algorithm; hyperspectral imaging system; image calibration optimization; signal to noise ratio; spectral correction; spectroscopic system; transmittance quantification; uncertainty problem; white reference measurement; CMOS integrated circuits; Calibration; Materials; Noise measurement; Reflectivity; Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sensors, 2011 IEEE
Conference_Location :
Limerick
ISSN :
1930-0395
Print_ISBN :
978-1-4244-9290-9
Type :
conf
DOI :
10.1109/ICSENS.2011.6127385
Filename :
6127385
Link To Document :
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