TY - GEN
T1 - Application of the Computer Vision System to the Measurement of the CIE L*a*b* Color Parameters of Fruits
AU - Chero, Manuel Jesús Sánchez
AU - Zamora, William Rolando Miranda
AU - Chero, José Antonio Sánchez
AU - Villarreyes, Susana Soledad Chinchay
N1 - Publisher Copyright:
© 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - 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).
AB - 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).
KW - Color parameter
KW - Computer Vision System
KW - Food color
KW - Measurement color
U2 - 10.1007/978-3-030-51328-3_47
DO - 10.1007/978-3-030-51328-3_47
M3 - Contribución a la conferencia
AN - SCOPUS:85088503540
SN - 9783030513276
T3 - Advances in Intelligent Systems and Computing
SP - 341
EP - 347
BT - Advances in Artificial Intelligence, Software and Systems Engineering - Proceedings of the AHFE 2020 Virtual Conferences on Software and Systems Engineering, and Artificial Intelligence and Social Computing
A2 - Ahram, Tareq
PB - Springer
T2 - AHFE Virtual Conferences on Software and Systems Engineering, and Artificial Intelligence and Social Computing, 2020
Y2 - 16 July 2020 through 20 July 2020
ER -