Determining diameter of animal textile fiber using image processing techniques
Fecha
2014Autor
Arcidiácono, Marcelo J.M.
Destefanis, Eduardo
Constable, Leticia E.
Vázquez, Juan Carlos
Metadatos
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In the context of productive sustainability of
animal textile fibers, the possibility to achieve safe and
inexpensive methods allowing to measure fiber quality is
paramount for farmers pretending to compete in local and
international markets. Using an image of a longitudinal cut of
camelid fibers, we propose a computational method in which a
Hierarchical Temporary Memory algorithm recognizes and
identifies each of these fibers and a modified Gabor filter
enhances and reconstructs the input image in order to reduce
measurement errors of the mean diameter due to crossovers and
out of focus objects. In this paper this procedure is described and
results are discussed. The obtained results agree with the
laboratory measurements.
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