Abstract
Texture analysis by co-occurrences on magnetic resonance imaging (MRI) involves a non-invasive nor destructive method for studying the distribution of several texture features inside meat products. Traditional methods are based on 2D image sequences, which limit the distribution of texture to a single plane. That implies a loss of information when texture features are studied from different orientations. In this paper a new 3D algorithm is proposed and included in a computer vision system to study the distribution of textures in 3D images of Iberian loin from different orientations. The semantic interpretation of textural composition in each orientation is also reached.
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Acknowledgments
The authors wish to acknowledge the funding received for this research from Ministerio de Ciencia e Innovacion and FEDER-MICCIN-Infrastructure Research Project (UNEX10-1E-402), Gobierno de Extremadura - Consejeria de Empleo, Empresa e Innovacion and funds by FEDER (European Regional Development Funds). We also wish to thank Animal Source Foodstuffs Innovation Services (SiPA) from Faculty of Veterinary of University of Extremadura.
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Ávila, M.M., Caballero, D., Durán, M.L., Caro, A., Pérez-Palacios, T., Antequera, T. (2015). Including 3D-textures in a Computer Vision System to Analyze Quality Traits of Loin. In: Nalpantidis, L., Krüger, V., Eklundh, JO., Gasteratos, A. (eds) Computer Vision Systems. ICVS 2015. Lecture Notes in Computer Science(), vol 9163. Springer, Cham. https://doi.org/10.1007/978-3-319-20904-3_41
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DOI: https://doi.org/10.1007/978-3-319-20904-3_41
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