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Comparison of latent variable-based and artificial intelligence methods for impurity detection in PET recycling from NIR hyperspectral images

Galdón-Navarro, Borja; Prats-Montalbán, José Manuel; Cubero-García, Sergio; Blasco Ivars, Jose; Ferrer, Alberto (John Wiley & Sons, 2018)

[EN] In polyethylene terephthalate's (PET)'s recycling processes, separation from polyvinyl chloride (PVC) is of prior relevance due to its toxicity, which degrades the final quality of recycled PET. Moreover, the potential ...
Pixel classification methods for identifying and quantifying leaf surface injury from digital images

Opstad Kruse, Ole Mathis; Prats Montalbán, José Manuel; Indahl, Ulf Geir; Kvaal, Knut; Ferrer Riquelme, Alberto José; Futsaether, Cecilia Marie (Elsevier, 2014-10)

Plants exposed to stress due to pollution, disease or nutrient deficiency often develop visible symptoms on leaves such as spots, colour changes and necrotic regions. Early symptom detection is important for precision ...
Segmentation techniques in image analysis: A comparative study

Vitale, Raffaele; Prats-Montalbán, José Manuel; López García, Fernando; BLASCO IVARS, JOSE; Ferrer, Alberto (John Wiley & Sons, 2016-12)

[EN] Nowadays, the detection, localization, and quantification of different kinds of features in an RGB image (segmentation) is extremely helpful for, e.g., process monitoring or customer product acceptance. In this ...
Uso del espectro NIR y de imágenes RGB para la monitorización, clasificación y predicción de la calidad de la lechuga tipo Iceberg

Ferrer Hermenegildo, Alberto (Universitat Politècnica de València, 2022-11-24)

[ES] El presente Trabajo Fin de Máster (TFM) tiene como objetivo mejorar el actual sistema de predicción de la caducidad y de detección de defectos de una empresa del sector alimentario en un producto vegetal (lechuga tipo ...

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