2023-07-262023-07-262014http://hdl.handle.net/20.500.12272/8300In 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.pdfspaopenAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0/Attribution-NonCommercial-NoDerivatives 4.0 Internacionaltextile fiberqualityimageprocessinginfo:eu-repo/semantics/articleVázquez, Juan Carlos_X_Atribución (Attribution): En cualquier explotación de la obra autorizada por la licencia será necesario reconocer la autoría (obligatoria en todos los casos). _X_No comercial (Non Commercial): La explotación de la obra queda limitada a usos no comerciales. _X_Sin obras derivadas (No Derivate Works): La autorización para explotar la obra no incluye la posibilidad de crear una obra derivada (traducciones, adaptaciones, etc.). _X_Compartir igual (Share Alike): La explotación autorizada incluye la creación de obras derivadas siempre que se mantenga la misma licencia al ser divulgadas.*