0000000000179441

AUTHOR

Abdessattar Ghemougui

0000-0001-6181-2633

showing 1 related works from this author

Food Tray Sealing Fault Detection in Multi-Spectral Images Using Data Fusion and Deep Learning Techniques

2021

A correct food tray sealing is required to preserve food properties and safety for consumers. Traditional food packaging inspections are made by human operators to detect seal defects. Recent advances in the field of food inspection have been related to the use of hyperspectral imaging technology and automated vision-based inspection systems. A deep learning-based approach for food tray sealing fault detection using hyperspectral images is described. Several pixel-based image fusion methods are proposed to obtain 2D images from the 3D hyperspectral image datacube, which feeds the deep learning (DL) algorithms. Instead of considering all spectral bands in region of interest around a contamin…

Envasos de plàsticComputer sciencehyperspectral imagingComputer applications to medicine. Medical informaticsR858-859.7Convolutional neural networkArticleDeep belief networkPhotographyRadiology Nuclear Medicine and imagingElectrical and Electronic EngineeringTR1-1050Extreme learning machineImage fusiondata fusionbusiness.industryDeep learningHyperspectral imagingdeep learningPattern recognitionAliments ConservacióQA75.5-76.95Sensor fusionComputer Graphics and Computer-Aided DesignAutoencoderfault detectionElectronic computers. Computer scienceComputer Vision and Pattern RecognitionArtificial intelligenceTecnologia dels alimentsbusinessfood packagingJournal of Imaging
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