Classification system for blister pack of pills

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dc.contributor.authorPardo, C. E.
dc.contributor.authorSosa, L. F.
dc.contributor.authorGutierrez, E. A.
dc.contributor.authorJiménez, F. R.
dc.date.accessioned2020-01-17T15:15:36Z
dc.date.available2020-01-17T15:15:36Z
dc.date.issued2014-10
dc.descriptionEn este trabajo, se presenta el desarrollo de un sistema que permite clasificar un conjunto de Blister Packs utilizados para el almacenamiento de Pastillas de Medicamentos. Aunque las pastillas pueden ser identificadas directamente por su color, se utilizó una técnica de extracción de características, tal como lo es la Segmentación basada en Análisis Fractal de Texturas; dado que se requería un conjunto de parámetros para alimentar un clasificador utilizando aprendizaje supervisado a partir de K-nearest neighbours.spa
dc.description.abstractAbstract— In this paper we present a classification system for blister pack of pills. For the development of the system was taken into account three types of Blister Packs, where we performed a classification process considering a Segmentation-based Fractal Texture Analysis system, likewise, was used Otsu multi-level algorithm, as nonparametric technique for thresholds detection. The features extracted from the Fractal Texture-based Segmentation Analysis system, are used as a database of entrainment to a classification system based on k-nearestspa
dc.description.domainhttp://unidadinvestigacion.usta.edu.cospa
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.1109/CWCAS.2014.6994614spa
dc.identifier.urihttp://hdl.handle.net/11634/20693
dc.publisher.branchCRAI-USTA Bogotáspa
dc.relation.referencesNobuyuki Otsu, “A threshold selection method from gray-level histogram”, IEEE Transactions on System Man Cybernetics, Vol. SMC9, No. 1, 1979, pp. 62-66.spa
dc.relation.referencesCosta, A. F., G. E. Humpire-Mamani, A. J. M. Traina. 2012. "An Efficient Algorithm for Fractal Analysis of Textures." In SIBGRAPI 2012 (XXV Conference on Graphics, Patterns and Images), 39-46, Ouro Preto, Brazil.spa
dc.relation.referenceshttp://bitacora-de-blas-herrera.blogspot.com/2009/06/fractal-2- dimension-de-hausdorff.htmlspa
dc.relation.referencesB. S. Manjunath and W. Y. Ma, "Texture Features for Browsing and Retrieval of Image Data," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 18, no. 8, pp. 837-842, 1996. (Pubitemid 126772825)spa
dc.relation.references] R. M. Haralick, K. Shanmugam, and I. H. Dinstein, "Textural Features for Image Classification," IEEE Transactions on Systems, Man and Cybernetics, vol. 3, no. 6, pp. 610-621, 1973.spa
dc.relation.referencesM. Varma and A. Zisserman, "A statistical approach to material classification using image patch exemplars," IEEE transactions on pattern analysis and machine intelligence, vol. 31, no. 11, pp. 2032- 2047, Nov. 2009.spa
dc.relation.referencesR. M. Rangayyan and T. M. Nguyen, "Fractal analysis of contours of breast masses in mammograms," Journal of Digital Imaging, vol. 20, no. 3, pp. 223-37, Sep. 2007. (Pubitemid 350029107)spa
dc.rightsAtribución-NoComercial-CompartirIgual 2.5 Colombia
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/2.5/co/
dc.subject.keywordBlister Packspa
dc.subject.keywordKNNspa
dc.subject.keywordOtsu Multi-levelspa
dc.subject.keywordSFTAspa
dc.subject.proposalBlister Packspa
dc.subject.proposalKNNspa
dc.subject.proposalOtsu Multi-levelspa
dc.subject.proposalSFTAspa
dc.titleClassification system for blister pack of pillsspa
dc.type.categoryGeneración de Nuevo Conocimiento: Artículos publicados en revistas especializadas - Electrónicosspa

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