Data acquisition for classifying slaughtered animal bodies...

A - Human Necessities – 22 – B

Patent

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A22B 5/00 (2006.01)

Patent

CA 2575672

A non-invasive method is described for identifying contours with complex structures having an error recognition rate tending towards zero, which method can be used to distinguish and identify features of a slaughtered animal body with respect to each other, said method being utilised on the basis of a characteristic piece in particular to determine, by means of image processing, data for calculating the muscle-meat percentage, the trade classification and the associated trade value and market value, and also to rate the quality of slaughtered animal bodies, taking into account legal requirements. In accordance with the invention, during error recognition of contours of a slaughtered animal body which have complex structures and which are to be distinguished and identified with respect to each other, an operator at a workstation in the form of a PC interacts with the computer and provides sufficient indications relating to the unidentified or incorrectly identified contour to be sought, in that by employing an image reproduction device at least one support point is in each case set in the illustration of an image of the region of interest of the slaughtered animal body in one or several regions, in which data is to be determined from measurements.

L'invention concerne un procédé non invasif permettant de détecter des contours structurés complexes avec un taux de détection d'erreurs proche de zéro et permettant de différencier et d'identifier les caractéristiques d'un corps d'animal d'abattage. Ce procédé permet notamment de déterminer, sur la base d'une pièce caractéristique et par traitement d'image, des données pour le calcul de la fraction de viande muscle, la qualité ainsi que la valeur commerciale et la valeur marchande liées, et de classer la qualité des corps d'animaux d'abattage dans le respect de la réglementation légale. L'invention est caractérisée en ce qu'en cas de détection d'erreur des contours structurés complexes de différenciation et d'identification d'un corps d'animal d'abattage, un utilisateur à une station de travail se présentant sous la forme d'un PC est en interaction avec le calculateur et donne suffisamment d'indications sur les contours à chercher et non ou non correctement détectés en réglant dans la représentation d'une image de la zone pertinente du corps d'animal d'abattage respectivement un point d'appui d'au moins une zone dans laquelle des données doivent être déterminées à partir des mesures, et ce à l'aide d'un dispositif de reproduction d'images.

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