White light emitting diode correlated colour temperature influence on image analysis in Sala mango quality assessment
Author(s) -
Wan Long Chiong,
Ahmad Omar,
M. Z. MatJafri
Publication year - 2018
Publication title -
journal of spectral imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.256
H-Index - 6
ISSN - 2040-4565
DOI - 10.1255/jsi.2018.a11
Subject(s) - hue , rgb color model , ripening , colour difference , computer vision , artificial intelligence , color temperature , mathematics , food science , computer science , materials science , optics , chemistry , optoelectronics , physics
Colour analysis is one of the common techniques used in assessing fruits quality, especially for types of fruit thathave a natural transformation in peel colour according to the stage of maturity and ripening. Imaging through RGB analysisis a popular method employed in colour analysis of fruit. Colour observed by human or machine vision is highly dependedon ambient lighting, whether in its intensity or the hue of the white illumination source. Hence, the objective of this research is to provide some brief experimental findings on the influence of light emitting diode correlated colour temperature intransforming the colour perceived from the image of Sala mango and the RGB algorithm in predicting the fruits’ pH andsoluble solid content.
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