Author(s): Teixeira, Cátia ; Cadavez, Vasco ; Monteiro, Fernando C.
Date: 2015
Persistent ID: http://hdl.handle.net/10198/16729
Origin: Biblioteca Digital da UPB
Subject(s): Computer vision system; Beef quality; Beef-marbling; Percentage of marbling
Author(s): Teixeira, Cátia ; Cadavez, Vasco ; Monteiro, Fernando C.
Date: 2015
Persistent ID: http://hdl.handle.net/10198/16729
Origin: Biblioteca Digital da UPB
Subject(s): Computer vision system; Beef quality; Beef-marbling; Percentage of marbling
Applying computer vision in meat quality evaluation has been an active area of research in recent years. Accurate segmentation of beef-marbling images plays an important role in making the correct decision on beef-marbling score in an automatic beef quality grading system. The purpose of this study was to develop a new segmentation method to correctly separate the fat flecks from the muscle in the rib-eye region in a beef image. The key idea was to measure the percentage of marbling in the muscle to obtain a beef quality evaluation system.