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Using wavelet denoising and mathematical morphology in the segmentation technique applied to blood cells images

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Using wavelet denoising and mathematical morphology in the segmentation technique applied to blood cells images

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dc.contributor.author Boix García, Macarena es_ES
dc.contributor.author Cantó Colomina, Begoña es_ES
dc.date.accessioned 2015-05-08T06:44:28Z
dc.date.available 2015-05-08T06:44:28Z
dc.date.issued 2013
dc.identifier.issn 1547-1063
dc.identifier.uri http://hdl.handle.net/10251/49909
dc.description.abstract Accurate image segmentation is used in medical diagnosis since this technique is a noninvasive pre-processing step for biomedical treatment. In this work we present an efficient segmentation method for medical image analysis. In particular, with this method blood cells can be segmented. For that, we combine the wavelet transform with morphological operations. Moreover, the wavelet thresholding technique is used to eliminate the noise and prepare the image for suitable segmentation. In wavelet denoising we determine the best wavelet that shows a segmentation with the largest area in the cell. We study different wavelet families and we conclude that the wavelet db1 is the best and it can serve for posterior works on blood pathologies. The proposed method generates goods results when it is applied on several images. Finally, the proposed algorithm made in MatLab environment is verified for a selected blood cells. es_ES
dc.language Inglés es_ES
dc.publisher American Institute of Mathematical Sciences (AIMS) es_ES
dc.relation.ispartof Mathematical Biosciences and Engineering es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject morphological operations es_ES
dc.subject wavelet denoising es_ES
dc.subject segmentation es_ES
dc.subject Blood cells images es_ES
dc.subject.classification MATEMATICA APLICADA es_ES
dc.title Using wavelet denoising and mathematical morphology in the segmentation technique applied to blood cells images es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3934/mbe.2013.10.279
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada es_ES
dc.description.bibliographicCitation Boix García, M.; Cantó Colomina, B. (2013). Using wavelet denoising and mathematical morphology in the segmentation technique applied to blood cells images. Mathematical Biosciences and Engineering. 10(2):279-294. doi:10.3934/mbe.2013.10.279 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://www.aimsciences.org/journals/displayArticlesnew.jsp?paperID=8167 es_ES
dc.description.upvformatpinicio 279 es_ES
dc.description.upvformatpfin 294 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 10 es_ES
dc.description.issue 2 es_ES
dc.relation.senia 242881


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