Alpha-Tree Segmentation of Human Anatomical Photographic Imagery

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Abstract

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.

Original languageEnglish
Title of host publicationAPPIS '19: Proceedings of the 2nd International Conference on Applications of Intelligent Systems
Place of PublicationNew York
PublisherACM Press
Pages1-6
Number of pages6
ISBN (Print)978-1-4503-6085-2
DOIs
Publication statusPublished - 2019
EventApplications of Intelligent Systems - Gran Canaria, Las Palmas, Spain
Duration: 7-Jan-20199-Jan-2019
Conference number: 2
http://appis.webhosting.rug.nl/2019/

Conference

ConferenceApplications of Intelligent Systems
Abbreviated titleAPPIS
Country/TerritorySpain
CityLas Palmas
Period07/01/201909/01/2019
Internet address

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