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Segmentación basada en la conectividad de la red vascular de la retina en imágenes de fondo de ojo

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  • معلومة اضافية
    • Contributors:
      Universitat Politècnica de Catalunya. Departament de Matemàtiques; Universitat Politècnica de Catalunya. Departament d'Òptica i Optometria; Universitat Politècnica de Catalunya. GOAPI - Grup d'Òptica Aplicada i Processament d'Imatge
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    • Abstract:
      © Sociedad Española de Óptica. A new unsupervised method for segmentation of objects of diverse nature with the common feature of connectivity (e.g. branching trees or net-shaped objects) is proposed. A preferred application to the vasculature segmentation of retinal images has been illustrated using images from DRIVE database. In the pre-processing stage, the method overcomes the common problem of non-uniform illumination of eye fundus images. The method follows with an iterative algorithm that starts with a seed and adds, at each step, a new vessel segment connected to the previously segmented part. The result preserves the connectivity as a distinct feature of the retinal vessel tree. The segmentation performance is evaluated through common signal detection metrics: sensitivity, specificity and accuracy.
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