Skip to Main content Skip to Navigation
Conference papers

More than pretty images – Towards confidence bounds on segmentation thresholds

Abstract : 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 iterative classification procedure based on the occurrence frequency. As phase attributions become increasingly more uncertain as iterations proceed, confidence bounds on the final segmentation are naturally obtained.
Document type :
Conference papers
Complete list of metadatas

Cited literature [3 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-02175825
Contributor : Peter Moonen <>
Submitted on : Saturday, July 6, 2019 - 2:07:02 PM
Last modification on : Tuesday, February 2, 2021 - 3:10:04 PM

File

ICTMS_Abstract_MoonenSenechal....
Files produced by the author(s)

Identifiers

  • HAL Id : hal-02175825, version 1

Collections

Citation

Peter Moonen, Pascale Sénéchal. More than pretty images – Towards confidence bounds on segmentation thresholds. 4th International Conference on Tomography of Materials and Structures (ICTMS 2019), Jul 2019, Cairns, Australia. ⟨hal-02175825⟩

Share

Metrics

Record views

43

Files downloads

37