@inproceedings{0ef1e358c7b6453a96488da5e57bab53,
title = "Computational method for optical spectrum analysis using RGB to Hue transformation",
abstract = "Spectrometers measure optical power as a function of wavelength. Optical spectrum analysis is very important part of optical spectroscopy applications. A low cost DIY spectrometer can be created using DVD-R as diffraction grating and camera as the sensor. Pre-calibration of the DIY spectrometer using a mercury vapor based reference light source is essential. The work discussed in this paper is a proposed methodology wherein the image of emission spectra of light sources can be mapped to the visible wavelength spectrum without any pre-calibration process. In this work RGB triplet in the spectrograph image of a 15W CFL bulb is converted to Hue in the HSV color space and Hue value is mapped from 0o to 360o portion of the Hue to 750nm-380nm of the visible spectrum. Results of the study indicate that Hue transformation technique to map RGB pixels to wavelength can be used with an error of +3\%. The error to some extent can be minimized by making use of the raw image captured by the camera spectrometer and proper alignment of image on the camera sensor.",
author = "Shailesh, \{K. R.\} and Kurian, \{Ciji Pearl\} and Kini, \{Savitha G.\}",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 10th International Conference on Intelligent Systems and Control, ISCO 2016 ; Conference date: 07-01-2016 Through 08-01-2016",
year = "2016",
month = oct,
day = "31",
doi = "10.1109/ISCO.2016.7727071",
language = "English",
series = "Proceedings of the 10th International Conference on Intelligent Systems and Control, ISCO 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "S. Smys",
booktitle = "Proceedings of the 10th International Conference on Intelligent Systems and Control, ISCO 2016",
address = "United States",
}