Nammalwar, Padmapriya, Ghita, Ovidiu and Whelan, Paul F. ORCID: 0000-0001-9230-7656 (2009) Segmentation of skin cancer images. In: ISSSIS 2009, 8-10 Jan. 2009, Coimbatore, India.
Abstract
The aim of this study is to provide an efficient way to segment the skin cancer images. A novel method isproposed that combines colour and texture for the segmentation of skin lesions from unaffected skin region in an image. The distributions of colour and texture features provide a good discrimination of skin lesions. The evaluation of the proposed method was based on the comparison with the Live Wire segmentation results. The segmentation results are evaluated quantitatively by means of a comparative experiment on a set of skin cancer images. The results indicate that the developed methodology proved effective and efficient for the skin cancer image segmentation
Metadata
Item Type: | Conference or Workshop Item (Paper) |
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Event Type: | Conference |
Refereed: | Yes |
Uncontrolled Keywords: | computer vision; image analysis; Colour; Melanoma; Segmentation; Skin cancer; Texture |
Subjects: | UNSPECIFIED |
DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering |
Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License |
ID Code: | 18624 |
Deposited On: | 14 Aug 2013 10:23 by Mark Sweeney . Last Modified 11 Jan 2019 15:56 |
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