Automatic procedure to determine the compactness of a bunch of grapes in continuous mode, on a conveyor belt located in the winery (Machine-translation by Google Translate, not legally binding)

Automatic procedure to determine the compactness of a bunch of grapes in continuous mode, on a conveyor belt located in hold (1), which comprises the following steps: A) capture a color image (original rgb image) (100a) of a cluster (3), with a camera (41), in an acquisition bell (4), located said b...

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Bibliographische Detailangaben
Hauptverfasser: CUBERO GARCIA, SERGIO, MILLAN PRIOR, BORJA, PRATS MONTALBAN, JOSE MANUEL, TARDAGUILA LASO, MANUEL JAVIER, DIAGO SANTAMARIA, MARÍA PAZ, ALEIXOS BORRAS, MARÍA NURIA
Format: Patent
Sprache:eng ; spa
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Zusammenfassung:Automatic procedure to determine the compactness of a bunch of grapes in continuous mode, on a conveyor belt located in hold (1), which comprises the following steps: A) capture a color image (original rgb image) (100a) of a cluster (3), with a camera (41), in an acquisition bell (4), located said bell on a conveyor belt (22) located in cellar; B) segment the original rgb image (100a) to obtain an image of classes with segmented cluster (100b) with the pixels that make up the cluster (3), those of the rachis and with those that correspond to the background (45); C) sort the pixels corresponding to gaps; D) extract the main morphological characteristics; E) extract the characteristics by color classification; E) obtain the quantitative value of compactness. (Machine-translation by Google Translate, not legally binding) Procedimiento automático para determinar la compacidad de un racimo de uva en modo continuo, sobre una cinta transportadora sita en bodega (1), que comprende las etapas siguientes: a) Capturar una imagen en color (imagen RGB original) (100A) de un racimo (3), con una cámara (41), en una campana de adquisición (4), ubicada dicha campana sobre una cinta transportadora (22) sita en bodega; b) Segmentar la imagen RGB original (100A) para obtener una imagen de clases con racimo segmentado (100B) con los píxeles que conforman el racimo (3), los del raquis y con los que corresponden al fondo (45); c) Clasificar los píxeles correspondientes a huecos; d) Extraer las características morfológicas principales; e) Extraer las características por clasificación de color; e) Obtener el valor cuantitativo de compacidad.