Abstract: The process for analyzing an ovine animal carcase comprises capturing an image of a dorsal view to generate color image data for the carcase (10). Predetermined anatomical points (21–24) of the carcase are identified to then derive dimensional measurements for the carcase. Also characterizing parameters such as yield and fat depth of the carcase are derived by processing color data included in the captured image data in conjunction with the derived dimensional measurements. The color data processed are the color data for predetermined selected surface areas, especially the chump, the loin and the shoulder areas (30–32) of the carcase (10) known or determined to have significant correlation to the characterizing parameter related to fatness. Desirably the tail (17) of the animal carcase is identified and its width determined since this is useful as a variable in a carcase yield predictive equation.

Abstract: An object imaging system, particularly for slaughtered animal carcases or meat pieces, includes an imaging station to which the object (10) is introduced, a camera (20) at the imaging station, and lighting means (30). The imaging station includes a backing member (15) for providing a background for the object (10), and an image capture enclosure (21) which has an open side (22) facing towards the backing member (15), the inside surfaces of the enclosure (21) being non-reflective. The camera (20) is mounted in the enclosure (21) and faces towards the open side (22) and towards the backing member (15).