화학공학소재연구정보센터
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No. Article
1 Discrimination of astringent and deastringed hard 'Rojo Brillante' persimmon fruit using a sensory threshold by means of hyperspectral imaging
Munera S, Aleixos N, Besada C, Gomez-Sanchis J, Salvador A, Cubero S, Talens P, Blasco J
Journal of Food Engineering, 263, 173, 2019
2 Prediction of the level of astringency in persimmon using visible and near-infrared spectroscopy
Cortes V, Rodriguez A, Blasco J, Rey B, Besada C, Cubero S, Salvador A, Talens P, Aleixos N
Journal of Food Engineering, 204, 27, 2017
3 Ripeness monitoring of two cultivars of nectarine using VIS-NIR hyperspectral reflectance imaging
Munera S, Amigo JM, Blasco J, Cubero S, Talens P, Aleixos N
Journal of Food Engineering, 214, 29, 2017
4 Automatic correction of the effects of the light source on spherical objects. An application to the analysis of hyperspectral images of citrus fruits
Gomez-Sanchis J, Molto E, Camps-Valls G, Gomez-Chova L, Aleixos N, Blasco J
Journal of Food Engineering, 85(2), 191, 2008
5 Hyperspectral system for early detection of rottenness caused by Penicillium digitatum in mandarins
Gomez-Sanchis J, Gomez-Chova L, Aleixos N, Camps-Valls G, Montesinos-Herrero C, Molto E, Blasco J
Journal of Food Engineering, 89(1), 80, 2008
6 Computer vision detection of peel defects in citrus by means of a region oriented segmentation algorithm
Blasco J, Aleixos N, Molto E
Journal of Food Engineering, 81(3), 535, 2007
7 Citrus sorting by identification of the most common defects using multispectral computer vision
Blasco J, Aleixos N, Gomez J, Molto E
Journal of Food Engineering, 83(3), 384, 2007