Abstract
Knowledge of the weight of tissue types in pig carcasses is generally only available after manual dissection. The use of computed tomography (CT) has demonstrated to be a promising approach to gain knowledge on the lean meat weight (Romvari, 2005), but less effort has been put into gaining knowledge about the weight of other tissue types from CT. Knowing the weight of individual tissue types will directly give access to other measures such as the weight of the carcass and the Lean Meat Percentage (LMP).
Until now, most analyses of CT scans have been based on the Hounsfield spectra that does not consider the spatial context in CT scan. Applying contextual methods from the field of image analysis we hope to make a virtual dissection of pig carcasses.
| Original language | English |
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| Title of host publication | 52nd International Congress of Meat Science and Technology (ICoMST), |
| Publisher | Informatics and Mathematical Modelling, Technical University of Denmark, DTU |
| Publication date | 2006 |
| Pages | 207-208 |
| Publication status | Published - 2006 |
| Event | 52nd International Congress of Meat Science and Technology (ICoMST), - Duration: 1 Jan 2006 → … |
Conference
| Conference | 52nd International Congress of Meat Science and Technology (ICoMST), |
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| Period | 01/01/2006 → … |
Keywords
- virtual dissection
- computed tomography
- tissue classification
- Contextual analysis
- weight prediction