1 Department of Applied Mathematics and Computer Science, Technical University of Denmark2 Image Analysis & Computer Graphics, Department of Applied Mathematics and Computer Science, Technical University of Denmark3 Statistics and Data Analysis, Department of Applied Mathematics and Computer Science, Technical University of Denmark4 University of Copenhagen5 Technische Universität München6 Danish Technological Institute7 Danish Technological Institute
X-ray computed tomography is increasingly used as a nondestructive method for studying three dimensional food structures. For meat products, studies have focused mainly on fat and protein content due to limited contrast capabilities of absorption based techniques. Recent advances in X-ray imaging have made novel X-ray image modalities available, where the refraction and scattering of X-rays is obtained simultaneously with the absorption properties, providing enhanced contrast for soft biological tissues. This paper demonstrates how data obtained from grating-based imaging can be segmented by means of multivariate and contextual methods to improve the classification of soft tissues in meat products. The results show that the presented segmentation method provides improved classification over univariate segmentation.
Workshop on Farm Animal and Food Quality Imaging 2013: Espoo, Finland, June 17, 2013, Proceedings, 2013, p. 37-42
X-ray CT; Phase contrast; Dark field imaging; Grating interferometry; Image segmentation
Main Research Area:
Dtu Compute-technical Report-2013
Workshop on Farm Animal and Food Quality Imaging 2013