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Towards the Semantic Representation of Biological Images: From Pixels to Regions

Author

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  • Kenneth McLeod

    (Department of Computer Science, Heriot-Watt University, Edinburgh, UK)

  • D. N. F. Awang Iskandar

    (Faculty of Computer Science & Information Technology, Universiti Malaysia Sarawak, Kota Samarahan, Malaysia)

  • Albert Burger

    (Department of Computer Science, Heriot-Watt University, Edinburgh, UK)

Abstract

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.

Suggested Citation

  • Kenneth McLeod & D. N. F. Awang Iskandar & Albert Burger, 2013. "Towards the Semantic Representation of Biological Images: From Pixels to Regions," International Journal of Intelligent Information Technologies (IJIIT), IGI Global, vol. 9(4), pages 35-54, October.
    • Handle: RePEc:igg:jiit00:v:9:y:2013:i:4:p:35-54
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    Cited by:

    1. S. P. Faustina Joan & S. Valli, 0. "An enhanced text detection technique for the visually impaired to read text," Information Systems Frontiers, Springer, vol. 0, pages 1-18.
    2. S. P. Faustina Joan & S. Valli, 2017. "An enhanced text detection technique for the visually impaired to read text," Information Systems Frontiers, Springer, vol. 19(5), pages 1039-1056, October.

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