Technical skill sheet

Segmentation of Natural Images, Imaging

  • Centre of research : MINES ParisTech, centre de morphologie mathmatique - CMM
  • Prestation : Characterization, tries, tests, checks, formulation - Advice, assessment, training - Research and Development

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Know-how


Segmentation of natural images, imaging - Text localisation : image bases, urban environments - Ophthalmology : study of age-related macular degenerescence - Angiogenesis : automated angiogenesis quantification methods - DNA chips, cell chips, biomedical microscopy : automated DNA chip quantification - Image analysis for parallelism techniques in biomedical microscopy - Interactive scanner and MRI image segmentation : processing of 3D temporal image sequences - Elaboration, nano - and macro- scale characterisation, nano-micro-macro homogenisation - Morphological processing of 3D microtomography images : segmentation and modelling of images of granular materials - Seismic imaging : seismic cube analysis - Vision by computer : road safety, sensor integration, segmentation of scenes and detection of pedestrians - Software and hardware architectures

Applications


Sectors of application : - Imaging, multimedia - Medical sector, ophthalmology, biomedical microscopy - Environmental physics - Seismic imaging, geology - Vision by computer - Software and hardware architectures

Equipment


Morph-M : C++ coded image processing functions library applying the MICROMORPH metaprogramming principle : image processing software. Contains the latest algorithmic innovations of mathematical morphology.