The Open UniversitySkip to content
 

Medical image retrieval using texture, locality and colour

Howarth, Peter; Yavlinsky, Alexei; Heesch, Daniel and Rüger, Stefan (2004). Medical image retrieval using texture, locality and colour. In: 5th Workshop of the Cross-Language Evaluation Forum, CLEF 2004, 15-17 September 2004, Bath, UK, pp. 740–749.

DOI (Digital Object Identifier) Link: http://dx.doi.org/10.1007/11519645_72
Google Scholar: Look up in Google Scholar

Abstract

We describe our experiments for the Image CLEF medical retrieval task. Our efforts were focused on the initial visual search. A content-based approach was followed. We used texture, localisation and colour features that have been proven by previous experiments. The images in the collection had specific characteristics. Medical images have a formulaic composition for each modality and anatomic region. We were able to choose features that would perform well in this domain. Tiling a Gabor texture feature to add localisation information proved to be particularly effective. The distances from each feature were combined with equal weighting. This smoothed the performance across the queries. The retrieval results showed that this simple approach was successful, with our system coming third in the automatic retrieval task.

Item Type: Conference Item
ISSN: 0302-9743
Academic Unit/Department: Knowledge Media Institute
Item ID: 11981
Depositing User: Users 8580 not found.
Date Deposited: 08 Oct 2008 14:18
Last Modified: 27 Sep 2011 08:30
URI: http://oro.open.ac.uk/id/eprint/11981
Share this page:

Actions (login may be required)

View Item
Report issue / request change

Policies | Disclaimer

© The Open University   + 44 (0)870 333 4340   general-enquiries@open.ac.uk