WSEAS Transactions on Signal Processing
Print ISSN: 1790-5052, E-ISSN: 2224-3488
Volume 19, 2023
Multispectral Image Processing System for Precision Detection of Reheated Coconut Oil
Authors: ,
Abstract: In the pursuit of enhancing food safety protocols, this article explores a cutting-edge approach to quality control in the coconut oil industry. We present a multispectral image processing system designed specifically for the detection of reheated coconut oil, leveraging advancements in machine learning. Machine learning algorithms, fused with image classification techniques, provide a robust framework for accurately identifying reheated coconut oil. It is proposed to develop a spectral clustering-based classifier to determine the effect of reheating and reuse of coconut oil. Post-processing methods refine classification results, while validation ensures the system's adaptability to diverse datasets.
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Keywords: Multispectral image, Accuracy, oil reheating, food safety, Convolutional neural network, image classification
Pages: 200-204
DOI: 10.37394/232014.2023.19.21