Abstract: A process and apparatus for identifying a target section within an image of a meat section. Color data for each pixel is stored and the pixels having a predetermined color characteristic of the target section e.g. a certain red/green ratio, are discriminated. The process involves excising from a refined data set for the discriminated pixels at least one data set for a cluster of pixels representing an external image section which is adjacent to and contacting the target section but which does not form part of the target section, the excising step including analysing the shape of the refined image section represented by the refined data set to identify concavities and examining properties of links and/or properties of sub-sections formed by links to identify valid links demarcating the target section from adjacent touching external image sections. The refined data set after the excising step has been carried out is processed as the data set representing the target section of the image.

Abstract: Evaluation of carcass, or carcass portions, by object image definition processing comprising the steps of: recording a first image of a background taken from a viewing point; positioning the carcass or carcass portion in the background; recording a second image taken from the viewing point of the background with the carcass or carcass portion positioned therein; and analyzing the first and second images to differentiate the carcass or carcass portion image from the background image for providing a defined image of the carcass or carcass portion, thus resolving the location and/or profile of the carcass or carcass portion positioned in the background. The differentiation includes the subtraction of the first or second image from the other, preferably for each color component respectively, so as to provide a number of component difference images which are then recombined to provide an absolute difference image.