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http://dx.doi.org/10.4334/JKCI.2008.20.4.513

Fiber Classification and Detection Technique Proposed for Applying on the PVA-ECC Sectional Image  

Kim, Yun-Yong (Dept. of Civil Engineering, Chungnam National University)
Lee, Bang-Yeon (Dept. of Civil and Environmental Engineering, Korea Advanced Institute of Science and Technology)
Kim, Jin-Keun (Dept. of Civil and Environmental Engineering, Korea Advanced Institute of Science and Technology)
Publication Information
Journal of the Korea Concrete Institute / v.20, no.4, 2008 , pp. 513-522 More about this Journal
Abstract
The fiber dispersion performance in fiber-reinforced cementitious composites is a crucial factor with respect to achieving desired mechanical performance. However, evaluation of the fiber dispersion performance in the composite PVA-ECC (Polyvinyl alcohol-Engineered Cementitious Composite) is extremely challenging because of the low contrast of PVA fibers with the cement-based matrix. In the present work, an enhanced fiber detection technique is developed and demonstrated. Using a fluorescence technique on the PVA-ECC, PVA fibers are observed as green dots in the cross-section of the composite. After capturing the fluorescence image with a Charged Couple Device (CCD) camera through a microscope. The fibers are more accurately detected by employing a series of process based on a categorization, watershed segmentation, and morphological reconstruction.
Keywords
PVA fiber; categorization; artificial neural network (ANN); watershed algorithm; morphological reconstruction;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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