Comparison of RGB and white LED illumination in honey imaging system using histogram approach

Sabiran Abubakar, Nur Hazliza Ariffin, Rajendran Parthiban, Norhana Arsad

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


LED illumination-based multispectral imaging (LEDMSI) is one of the effective methods in the spectral image acquisition system. The availability of high-intensity LEDs with many different colours makes it possible to produce satisfying data for multivariate image analysis, including deep learning multispectral systems. However, the impact of white LED correlated colour temperature (CCT) on data images has received attention in the field. In this paper, we aimed to compare the effect of red-green-blue (RGB) and CCT of an LED light source on honey images. Light and dark honey are considered image samples in the experiment. The honey images were recorded under the influence of RGB LED and three categories of CCT white LED using an 18-megapixel DSLR camera. All the pictures are saved in a JPEG format and uploaded in ImageJ software to acquire the spectra measurement (raw data) and histogram analysis. The result showed that CCT variations indicated a variation histogram as shown in the variation of RGB LED. Moreover, grayscale intensity analysis shows better brightness, contrast, and distinction between the two types of honey.

Original languageEnglish
Title of host publication2022 IEEE 20th Student Conference on Research and Development, SCOReD 2022
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages6
ISBN (Electronic)9781665474887
Publication statusPublished - 2022
EventIEEE Student Conference on Research and Development (SCOReD) 2022 - Bangi Resort Hotel, Bangi, Malaysia
Duration: 8 Nov 20229 Nov 2022
Conference number: 20th


ConferenceIEEE Student Conference on Research and Development (SCOReD) 2022
Abbreviated titleSCOReD 2022
Internet address


  • CCT
  • Histogram
  • Honey
  • Illumination
  • LED
  • RGB
  • Spectral Imaging

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