Abstract
The paper presents an approach to classification of porous materials used in biomedicine based on computer-aided analysis of scanning electron microscope images of sections of the examined material. Due to various size and high irregularity of forms of the pores visible in the images selected morphological parameters are used to the description of the samples of the porous material. The space of morphological parameters is automatically divided into porosity classes which are a step to establish the classes of porous material quality, based on suggestions of experts. An approach to verification of the morphological parameters utility to discriminate the materials according to their porosity is also proposed.
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Acknowledgement
The authors would like to thank prof. Andrzej Chwojnowski and his P.T. Collaborators from the Nalecz Institute of Biocybernetics and Biomedical Engineering of PAS in Warsaw for providing us with examples of SEM images of porous materials used in this work.
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Przytulska, M., Kulikowski, J.L. (2018). Multi-aspect Assessment and Classification of Porous Materials Designed for Tissue Engineering. In: Kurzynski, M., Wozniak, M., Burduk, R. (eds) Proceedings of the 10th International Conference on Computer Recognition Systems CORES 2017. CORES 2017. Advances in Intelligent Systems and Computing, vol 578. Springer, Cham. https://doi.org/10.1007/978-3-319-59162-9_3
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DOI: https://doi.org/10.1007/978-3-319-59162-9_3
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