IEEE Transactions on Image Processing · 2012 · 16 citations · 39 references
EngineeringImage Sequence AnalysisImage AnalysisMathematical MorphologyBiostatisticsComputational GeometryComputational AnatomyGeometric ModelingMachine VisionMorphologyMorphogenesisMedical Image ComputingMorphological AnalysisComputer VisionBiologyPattern FormationDevelopmental BiologyZebrafish Early DevelopmentZebrafish EmbryogenesisBioimage AnalysisMathematical Morphology OperatorsEmbryogenesis Image AnalysisMedicineImage Segmentation
We propose to directly process 3D + t image sequences with mathematical morphology operators using a new classification of the 3D+t structuring elements. Several methods (filtering, tracking, segmentation) dedicated to the analysis of 3D + t datasets of zebrafish embryogenesis are introduced and validated through a synthetic dataset. Then, we illustrate the application of these methods to the analysis of datasets of zebrafish early development acquired with various microscopy techniques. This processing paradigm produces spatio-temporal coherent results as it benefits from the intrinsic redundancy of the temporal dimension and minimizes the needs for human intervention in semi-automatic algorithms.
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