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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
Date: 2010
Publication Title:EvoApplications 2010: European Conference on the Applications of Evolutionary Computation
Publisher:Springer
Publication Type:Conference Paper Publication Status:Other
Abstract:
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
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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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