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Application of the Computer Vision System to the Measurement of the CIE L*a*b* Color Parameters of Fruits

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Advances in Artificial Intelligence, Software and Systems Engineering (AHFE 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1213))

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Abstract

The first thing the consumer uses without tasting the fruit is the sense of sight. Human vision can be replaced by a digital camera and under specific conditions we can measure the color parameters of fruits. The color determination of Tommy Atkins mango, papaya, star fruit and golden berry were performed using the standardized computer vision system. High coefficients of determination (R2) were obtained, explained by the linear regression model, for parameter L* (0.9986), for parameter a* (0.9992) and for parameter b* (0.9991). The CIE L*a*b* parameters for Tommy Atkins mango (L* = 74%, a* = 78.3% red, b* = 55% yellow), papaya (L* = 74%, a* = 15% of green, b* = 43.3% of yellow), star fruit (L* = 59%, a* = 18.3% of red, b* = 61.7% of yellow) and golden berry (L* = 67%, a* = 16.7% of red, b* = 85% of yellow).

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Authors and Affiliations

  1. Universidad Señor de Sipán, Pimentel, Chiclayo, Peru

    Manuel Jesús Sánchez Chero & José Antonio Sánchez Chero

  2. Universidad Nacional de Frontera, Sullana, Peru

    Manuel Jesús Sánchez Chero, William Rolando Miranda Zamora & Susana Soledad Chinchay Villarreyes

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  1. Manuel Jesús Sánchez Chero
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  2. William Rolando Miranda Zamora
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  3. José Antonio Sánchez Chero
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  4. Susana Soledad Chinchay Villarreyes
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Correspondence to Manuel Jesús Sánchez Chero .

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  1. Institute for Advanced Systems Engineering, University of Central Florida, Orlando, FL, USA

    Tareq Ahram

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Chero, M.J.S., Zamora, W.R.M., Chero, J.A.S., Villarreyes, S.S.C. (2021). Application of the Computer Vision System to the Measurement of the CIE L*a*b* Color Parameters of Fruits. In: Ahram, T. (eds) Advances in Artificial Intelligence, Software and Systems Engineering. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1213. Springer, Cham. https://doi.org/10.1007/978-3-030-51328-3_47

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