Feasible Application of Shape-Based Classification

Authors:
A. Caro;P. G. Rodríguez;T. Antequera;R. Palacios
Affiliations:
University of Extremadura, Computer Science Dept., Escuela Politécnica, Av. Universidad s/n, 10071 Cáceres, Spain;University of Extremadura, Computer Science Dept., Escuela Politécnica, Av. Universidad s/n, 10071 Cáceres, Spain;University of Extremadura, Food Technology., Facultad Veterinaria, Av. Universidad s/n, 10071 Cáceres, Spain;"Infanta Cristina" University Hospital, Radiology Service, Badajoz, Spain
Venue:
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part II
Year:
2007

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Abstract

This paper reports the results obtained by analysing some of the most well-known features used in Computer Vision to describe and classify shapes in an appealing real application. We aim to demonstrate the applicability of shape descriptors to classify muscles on Magnetic Resonance Imaging (MRI). The mechanized classification of ham muscles could help the industries to automate the ripening process for Iberian ham. The excellent classification percentages obtained in our experiments suggest the real viability of the feature vector developed in this paper to recognize and classify muscles.