Skip to main navigation Skip to search Skip to main content

Auto-calibration of emission spectra of light sources captured using camera spectrometer

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

    Abstract

    The work documented in this paper gives a working knowledge of mapping the spectral lines in the emission spectra of physical objects to their corresponding wavelengths. In simpler terms RGB triplets in the spectrogram image are mapped to their corresponding wavelengths on the visible spectrum. Peaks of CIE RGB color matching functions are directly mapped one on one to peaks of the R, G and B intensity plots of the spectrogram. This methodology was tested on fluorescent lamps, white LED torch light, 100W Incandescent lamp and noon solar spectrum. The resulting spectrograms of the test light source were in close agreement with the respective theoretical references. Camera spectrometer is auto-calibrated and the need for a standard source during calibration is omitted.

    Original languageEnglish
    Title of host publication2015 International Conference on Smart Sensors and Systems, IC-SSS 2015
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9781467393287
    DOIs
    Publication statusPublished - 07-03-2017
    Event2015 International Conference on Smart Sensors and Systems, IC-SSS 2015 - Bangalore, India
    Duration: 21-12-201523-12-2015

    Publication series

    Name2015 International Conference on Smart Sensors and Systems, IC-SSS 2015

    Conference

    Conference2015 International Conference on Smart Sensors and Systems, IC-SSS 2015
    Country/TerritoryIndia
    CityBangalore
    Period21-12-1523-12-15

    All Science Journal Classification (ASJC) codes

    • Computer Networks and Communications
    • Computer Vision and Pattern Recognition
    • Hardware and Architecture
    • Instrumentation
    • Artificial Intelligence

    Fingerprint

    Dive into the research topics of 'Auto-calibration of emission spectra of light sources captured using camera spectrometer'. Together they form a unique fingerprint.

    Cite this