Color quality assessment of coconut sugar using artificial neural network (ANN)

Color quality assessment of coconut sugar using artificial neural network (ANN)

This paper presents a simple color recognition algorithm using digital image processing techniques and pattern recognition to eliminate the subjectiveness of manual inspection of the quality of coconut sugar based on Philippine National Standard. The image processing was built using MATLAB functions...

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Bibliographic Details
Main Authors: Aquino, Aaron U., Bautista, Mary Grace Ann C., Bandala, Argel A., Dadios, Elmer P.
Format: text
Published: Animo Repository 2016
Subjects:
Color vision
Image processing—Digital techniques Sugar
Electrical and Computer Engineering
Electrical and Electronics
Online Access:https://animorepository.dlsu.edu.ph/faculty_research/2771
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Institution: De La Salle University
Description
Summary:This paper presents a simple color recognition algorithm using digital image processing techniques and pattern recognition to eliminate the subjectiveness of manual inspection of the quality of coconut sugar based on Philippine National Standard. The image processing was built using MATLAB functions through RGB acquisition. The Backpropagation Artificial Neural Network was used in this project to enhance the accuracy and performance of image processing. The database of the network involved 300 images and 70% of these were used for training the network, 15% for validation and 15% for testing. © 2015 IEEE.

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