Alpha-Tree Segmentation of Human Anatomical Photographic Imagery

Wilbert Tabone, M.H.F. Wilkinson, Anne van Gaalen, Joannis R. Georgiadis, George Azzopardi

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Segmentation of anatomical imagery is important in several areas, such as forensics, medical analysis and educational material. The manual segmentation of such images and the subsequent labelling of regions is a very laborious task. We propose an interactive segmentation scheme which we evaluate on a new data set of anatomical imagery. We use a morphological tree-based segmentation method, known as the alpha-tree, together with a Hu-moment thresholding mechanism in order to extract segments from a number of structures. Both qualitative and quantitative results in anatomical imagery of embalmed head, arm and leg specimens indicate that the proposed method can produce meaningful segmentation outputs, which could facilitate further refined labelling.

Originele taal-2English
TitelAPPIS '19: Proceedings of the 2nd International Conference on Applications of Intelligent Systems
Plaats van productieNew York
UitgeverijACM Press
Aantal pagina's6
ISBN van geprinte versie978-1-4503-6085-2
StatusPublished - 2019
EvenementApplications of Intelligent Systems - Gran Canaria, Las Palmas, Spain
Duur: 7-jan.-20199-jan.-2019
Congresnummer: 2


ConferenceApplications of Intelligent Systems
Verkorte titelAPPIS
StadLas Palmas
Internet adres

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