3D + t Morphological Processing: Applications to Embryogenesis Image Analysis

Luengo Oroz, Miguel Ángel and Pastor Escuredo, David and Castro González, Carlos and Faure, Emmanuel and Savy, Thierry and Lombardot, Benoit and Rubio Guivernau, José Luis and Duloquin, Louise and Ledesma Carbayo, María Jesús and Bourgine, Paul and Peyrieras, Nadine and Santos Lleo, Andres de (2012). 3D + t Morphological Processing: Applications to Embryogenesis Image Analysis. "Ieee Transactions on Image Processing", v. 21 (n. 8); pp. 3518-3530. ISSN 1057-7149. https://doi.org/10.1109/TIP.2012.2197007.

Description

Title: 3D + t Morphological Processing: Applications to Embryogenesis Image Analysis
Author/s:
  • Luengo Oroz, Miguel Ángel
  • Pastor Escuredo, David
  • Castro González, Carlos
  • Faure, Emmanuel
  • Savy, Thierry
  • Lombardot, Benoit
  • Rubio Guivernau, José Luis
  • Duloquin, Louise
  • Ledesma Carbayo, María Jesús
  • Bourgine, Paul
  • Peyrieras, Nadine
  • Santos Lleo, Andres de
Item Type: Article
Título de Revista/Publicación: Ieee Transactions on Image Processing
Date: August 2012
ISSN: 1057-7149
Volume: 21
Subjects:
Freetext Keywords: 3D+t mathematical morphology, in-vivo light microscopy, spatio-temporal structuring elements, zebrafish embryogenesis
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Ingeniería Electrónica
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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.

More information

Item ID: 15210
DC Identifier: http://oa.upm.es/15210/
OAI Identifier: oai:oa.upm.es:15210
DOI: 10.1109/TIP.2012.2197007
Official URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=06193178
Deposited by: Memoria Investigacion
Deposited on: 09 Jun 2013 12:09
Last Modified: 21 Apr 2016 15:12
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