More than pretty images – Towards confidence bounds on segmentation thresholds — ICTMS Committee Dep of Applied Maths Australian National University

More than pretty images – Towards confidence bounds on segmentation thresholds (182)

Peter Moonen 1 , Pascale Senechal 1
  1. UPPA, Pau, NOUVELLE AQUITAINE, France

We present an approach to assess the uncertainty associated to classifying voxels into different material phases. The approach consists in a spectral deconvolution of the grey-level histogram using a Gaussian mixture approach, followed by an iterativeclassification procedure based on the occurrence frequency. As phase attributions become increasingly moreuncertain as iterations proceed, confidence bounds on the final segmentation are naturally obtained

Full Paper