Abstract
In the present study the performance of the fuzzy distance transform-based method of computing surrogate measure of thickness from gray-level images is analyzed for a set of 25 μCT images of trabecular bone. Analytical formulas derived in this study identify the limitations of the fuzzy distance transform-based approach to thickness measurement.
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The paper is supported by project funded from 2009–2012 resources for science as a research project.
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Petryniak, R., Tabor, Z. (2012). Surrogate Measures of Thickness in the Regime of Limited Image Resolution: Part 1: Fuzzy Distance Transform. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2012. Lecture Notes in Computer Science(), vol 7268. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29350-4_38
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DOI: https://doi.org/10.1007/978-3-642-29350-4_38
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