Automatic mass segmentation based on adaptive pyramid and sublevel set analysis

Fei Ma*, Mariusz Bajger, Murk J. Bottema

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

12 Citations (Scopus)

Abstract

A method based on sublevel sets is presented for refining segmentation of screening mammograms. Initial segmentation is provided by an adaptive pyramid (AP) scheme which is viewed as seeding of the final segmentation by sublevel sets. Performance is tested with and without prior anisotropic smoothing and is compared to refinement based on component merging. The combination of anisotropic smoothing, AP segmentation and sublevel refinement is found to outperform other combinations.

Original languageEnglish
Title of host publicationDICTA 2009 - Digital Image Computing
Subtitle of host publicationTechniques and Applications
Pages236-241
Number of pages6
DOIs
Publication statusPublished - 2009
Externally publishedYes
EventDigital Image Computing: Techniques and Applications, DICTA 2009 - Melbourne, VIC, Australia
Duration: 1 Dec 20093 Dec 2009

Publication series

NameDICTA 2009 - Digital Image Computing: Techniques and Applications

Conference

ConferenceDigital Image Computing: Techniques and Applications, DICTA 2009
Country/TerritoryAustralia
CityMelbourne, VIC
Period1/12/093/12/09

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