DATA ACQUISITION FOR CLASSIFYING SLAUGHTERED ANIMAL BODIES AND FOR THEIR QUALITATIVE AND QUANTITATIVE DETERMINATION
A non-invasive process is described for recognising contours having complex structures with an error recognition rate tending to zero, the process being used to differentiate and identify characteristics of a slaughtered animal body on the basis of a characteristic slice by means of image processing, in particular to determine data for computing the muscle proportion, the trade class and the associated trade value and market value, and also to rate the quality of slaughtered animal bodies, taking into account legal prescriptions. According to the invention, in an error recognition process for differentiating and identifying complex structures of contours of slaughtered animal bodies, an operator at a workstation designed as a PC interacts with the computer and gives sufficient indications of the unrecognised or incorrectly recognised contour to be searched, by setting, by means of an image reproduction system, at least one support point in one or more zones in which data is to be acquired from measurements in the image of the zone of interest of the slaughtered animal body.