Towards the semantic representation of biological images: from pixels to regions

Kenneth McLeod, D N F Awang Iskandar, Albert Georg Burger

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)


Biomedical images and models contain vast amounts of information. Regrettably, much of this information is
only accessible by domain experts. This paper describes a biological use case in which this situation occurs.
Motivation is given for describing images, from this use case, semantically. Furthermore, links are provided to
the medical domain, demonstrating the transferability of this work. Subsequently, it is shown that a semantic
representation in which every pixel is featured is needlessly expensive. This motivates the discussion of more
abstract renditions, which are dealt with next. As part of this, the paper discusses the suitability of existing
technologies. In particular, Region Connection Calculus and one implementation of the W3C Geospatial
Vocabulary are considered. It transpires that the abstract representations provide a basic description that
enables the user to perform a subset of the desired queries. However, a more complex depiction is required
for this use case.
Original languageEnglish
Pages (from-to)35-54
Number of pages20
JournalInternational Journal of Intelligent Information Technologies
Issue number4
Publication statusPublished - 2013


  • Biomedical Atlasing
  • Biomedical Images
  • Gene Expression
  • Qualitative Spatial Reasoning
  • Semantic Technologies


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