Title
Application of the Computer Vision System to the Measurement of the CIE L*a*b* Color Parameters of Fruits
Date Issued
01 January 2021
Access level
metadata only access
Resource Type
conference paper
Publisher(s)
Springer
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).
Start page
341
End page
347
Volume
1213 AISC
Language
English
OCDE Knowledge area
Ingeniería eléctrica, Ingeniería electrónica
Ingeniería de sistemas y comunicaciones
Subjects
Scopus EID
2-s2.0-85088503540
Source
Advances in Intelligent Systems and Computing
Resource of which it is part
Advances in Intelligent Systems and Computing
ISSN of the container
21945357
ISBN of the container
9783030513276
Conference
AHFE Virtual Conferences on Software and Systems Engineering, and Artificial Intelligence and Social Computing, 2020 San Diego 16 July 2020 through 20 July 2020
Sources of information:
Directorio de Producción Científica
Scopus