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Segmentation and feature extraction in capillaroscopic videos

  • Autori: Spera, E.; Tegolo, D.; Valenti, C.
  • Anno di pubblicazione: 2015
  • Tipologia: Contributo in atti di convegno pubblicato in volume
  • OA Link:


This contribution describes a method to select regions of interest as capillaries of the oral mucosa and to extract their main features useful for real diagnosis purposes. A discrete version of the wavelet transform has been adopted for segmenting the images coming from video sequences acquired by a prototype capillaroscopic, able to put in evidence the red blood flow. A set of proper characteristics is automatically computed for a correct evaluation of the peripheral microcirculation.