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

Kenneth McLeod, D. N. F. Awang Iskandar and Albert Burger
Additional contact information
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

International Journal of Intelligent Information Technologies (IJIIT), 2013, vol. 9, issue 4, 35-54

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.

Date: 2013
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/ijiit.2013100103 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jiit00:v:9:y:2013:i:4:p:35-54

Access Statistics for this article

International Journal of Intelligent Information Technologies (IJIIT) is currently edited by Vijayan Sugumaran

More articles in International Journal of Intelligent Information Technologies (IJIIT) from IGI Global
Bibliographic data for series maintained by Journal Editor ().