Desarrollo de un programa de código abierto para medición de color de alimentos a partir de imágenes

Nicolás Gabriel Mattioli; Daniela Flavia Olivera; Viviana Olga Salvadori; Sandro Mauricio Goñi

doi:10.24215/30089336e002

Authors

Nicolás Gabriel Mattioli Universidad Nacional de La Plata, Argentina https://orcid.org/0009-0003-6947-5389
Daniela Flavia Olivera Universidad Nacional de La Plata, Argentina https://orcid.org/0000-0003-0504-5219
Viviana Olga Salvadori Universidad Nacional de La Plata, Argentina https://orcid.org/0000-0002-8451-9250
Sandro Mauricio Goñi Universidad Nacional de La Plata, Argentina https://orcid.org/0000-0001-6148-3796

DOI:

https://doi.org/10.24215/30089336e002

Keywords:

foods, color, images, computer program, open source

Abstract

This work presents the computational implementation and evaluation of a simple open-source software to measure the color of solid foods in the L*a*b* space, from digital images. The program was implemented in the free software OCTAVE, and allows reading an image and converting the RGB color space to L*a*b*. A direct conversion model was implemented, which does not require a calibration step, and an empirical model that requires calibration; for this aim, a known color chart was used. The software code can be easily modified according to the needs of each user. To assess the software, 18 food samples of a wide color range, with different lighting, were used and compared with measurements obtained with a colorimeter. The average total color difference (DE) between colorimeter and images values was 23.1, while the average difference of L*, a*, and b* were 8.6, 14.9, and 13.2, respectively. The developed software is a reliable alternative when no other color measuring instrument is available.

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References

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