FIBER SEGMENTATION IN CRACK REGIONS OF STEEL FIBER REINFORCED CONCRETE USING PRINCIPAL CURVATURE

This paper tackles the non-trivial image-processing task to segment hook-ended fibers in three-dimensional images. For this purpose, a novel segmentation method is presented that relies on the following observation: For a single fiber the configurations of principal curvatures that can occur on its...

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Bibliographic Details
Published inImage analysis & stereology Vol. 37; no. 2; pp. 127 - 137
Main Authors Kronenberger, Markus, Schladitz, Katja, Hamann, Bernd, Hagen, Hans
Format Journal Article
LanguageEnglish
Published Slovenian Society for Stereology and Quantitative Image Analysis 01.01.2018
Subjects
fiber reinforced concrete
fiber segmentation
image analysis
X-ray micro-computed tomography
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Summary:This paper tackles the non-trivial image-processing task to segment hook-ended fibers in three-dimensional images. For this purpose, a novel segmentation method is presented that relies on the following observation: For a single fiber the configurations of principal curvatures that can occur on its surface are limited. Deviations from these configurations indicate potential overlaps of fibers. The method that was developed based on this observation is used to separate several simulated clusters of touching fibers as a proof-of-concept. Further, it is applied to two images of cracked steel fiber reinforced concrete specimens arising from a 4-point bending test. The method's performance is compared to manual separation. Overall, we can state that the proposed method yields satisfying results when data meets the following criteria: Low fiber volume density, circular fiber cross section and sufficient spatial resolution of fiber-fiber contacts.
ISSN:1580-3139
1854-5165
DOI:10.5566/ias.1914