Computational method for optical spectrum analysis using RGB to Hue transformation

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationProceedings of the 10th International Conference on Intelligent Systems and Control, ISCO 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467378079
DOIs
Publication statusPublished - 31-10-2016
Event10th International Conference on Intelligent Systems and Control, ISCO 2016 - Coimbatore, India
Duration: 07-01-201608-01-2016

Conference

Conference10th International Conference on Intelligent Systems and Control, ISCO 2016
CountryIndia
CityCoimbatore
Period07-01-1608-01-16

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All Science Journal Classification (ASJC) codes

  • Control and Optimization
  • Artificial Intelligence
  • Computer Networks and Communications

Cite this

Shailesh, K. R., Kurian, C. P., & Kini, S. G. (2016). Computational method for optical spectrum analysis using RGB to Hue transformation. In Proceedings of the 10th International Conference on Intelligent Systems and Control, ISCO 2016 [7727071] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISCO.2016.7727071