| Name: | Description: | Size: | Format: | |
|---|---|---|---|---|
| 719.02 KB | Adobe PDF |
Advisor(s)
Abstract(s)
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 the beef-marbling score in an automatic beef quality grading system. The purpose of this study is to develop a novel segmentation method to correctly separate the fat flecks from the muscle in the rib-eye region in a beef image. This paper presents an automatic system for beef marbling measuring which is composed of discriminant threshold selection method and run length processing. From the experimental results, it has been confirmed that the proposed system enables high quality grading of beef marbling, and robust region segmentation of the actual beef rib-eye image into lean and fat regions.
Description
Keywords
Image processing Beef quality Image segmentation
Citation
Teixeira, Cátia, Cadavez, Vasco; Monteiro, Fernando C. (2015). Beef quality evaluation system. In RECPAD 2015 - 21St Edition of the Portuguese Conference on Pattern Recognition. Faro, Portugal
Publisher
Associação Portuguesa de Reconhecimento de Padrões