Descripción
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We propose to directly process 3D + t image sequences with mathematical morphology operators, using a new classi?cation of the 3D+t structuring elements. Several methods (?ltering, tracking, segmentation) dedicated to the analysis of 3D + t datasets of zebra?sh embryogenesis are introduced and validated through a synthetic dataset. Then, we illustrate the application of these methods to the analysis of datasets of zebra?sh early development acquired with various microscopy techniques. This processing paradigm produces spatio-temporal coherent results as it bene?ts from the intrinsic redundancy of the temporal dimension, and minimizes the needs for human intervention in semi-automatic algorithms. | |
Internacional
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Si |
JCR del ISI
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Si |
Título de la revista
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Ieee Transactions on Image Processing |
ISSN
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1057-7149 |
Factor de impacto JCR
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2,606 |
Información de impacto
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Datos JCR del año 2010 |
Volumen
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DOI
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10.1109/TIP.2012.2197007 |
Número de revista
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Desde la página
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3518 |
Hasta la página
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3530 |
Mes
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AGOSTO |
Ranking
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