Abstract
We present a supervised classification approach for image segmentation that operates in an object-based image representation and combines object features with boundary features. While classical algorithms focus on either regions (i.e. objects) or edges (i.e. boundaries), we offer a hybrid solution that takes both aspects into consideration. To illustrate the capacity of this approach, we apply the proposed classification to CT bone segmentation.
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References
Hay G, Castilla G. Object-based image analysis: strengths, weaknesses, opportunities and threats (SWOT). Proc OBIA. 2006;36:4–5.
SchwierM, Chitiboi T, H¨ulnhagen T, et al. Automated spine and vertebrae detection in CT images using OBIA. Int J Numer Method Biomed Eng. 2013;29(9).
Homeyer A, Schwier M, Hahn H. A generic concept for OBIA. Proc VISAPP. 2010;2:530–3.
Aplin P, Smith G. Advances in object-based image classification. Proc ISPRS. 2008.
Hahn HK, Peitgen HO. IWT-interactive watershed transform. Proc SPIE. 2003;5032:643–53.
Chitiboi T, Homeyer A, Linsen L, et al. Object-based boundary properties. Proc BVM. 2013; p. 199–204.
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© 2014 Springer-Verlag Berlin Heidelberg
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Acevedo, C., Chitiboi, T., Linsen, L., Hahn, H. (2014). Automatic Classification of Salient Boundaries in Object-Based Image Segmentation. In: Deserno, T., Handels, H., Meinzer, HP., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2014. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54111-7_72
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DOI: https://doi.org/10.1007/978-3-642-54111-7_72
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