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Informatics Report Series
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| Title:Content-Based Image Retrieval of Skin Lesions by Evolutionary Feature Synthesis |
| Authors:
Lucia Ballerini
; Xiang Li
; Robert Fisher
; Ben Aldridge
; Jonathan Rees
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| Date: 2010 |
| Publication Title:EvoApplications 2010: European Conference on the Applications of Evolutionary Computation |
| Publisher:Springer |
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Publication Type:Conference Paper
Publication Status:Other
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- Abstract:
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This paper gives an example of evolved features that improve image retrieval performance. A content-based image retrieval system for skin lesion images is presented. The aim is to support decision making by retrieving and displaying relevant past cases visually similar to the one under examination. Skin lesions of five common classes, including two non-melanoma cancer types, are used. Colour and texture features are extracted from lesions. Evolutionary algorithms are used to create composite features that optimise a similarity matching function. Experiments on our database of 533 images are performed and results are compared to those obtained using simple features. The use of the evolved composite features improves the precision by about 7%.
- Copyright:
- 2010 by The University of Edinburgh. All Rights Reserved
- Links To Paper
- No links available
- Bibtex format
- @InProceedings{EDI-INF-RR-1357,
- author = {
Lucia Ballerini
and Xiang Li
and Robert Fisher
and Ben Aldridge
and Jonathan Rees
},
- title = {Content-Based Image Retrieval of Skin Lesions by Evolutionary Feature Synthesis},
- book title = {EvoApplications 2010: European Conference on the Applications of Evolutionary Computation},
- publisher = {Springer},
- year = 2010,
- }
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