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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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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

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/49909

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Title: Using wavelet denoising and mathematical morphology in the segmentation technique applied to blood cells images
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada
Issued date:
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. ...[+]
Subjects: morphological operations , wavelet denoising , segmentation , Blood cells images
Copyrigths: Reserva de todos los derechos
Source:
Mathematical Biosciences and Engineering. (issn: 1547-1063 )
DOI: 10.3934/mbe.2013.10.279
Publisher:
American Institute of Mathematical Sciences (AIMS)
Publisher version: http://www.aimsciences.org/journals/displayArticlesnew.jsp?paperID=8167
Type: Artículo

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