Skip to main content
DORAS
DCU Online Research Access Service
Login (DCU Staff Only)
Integration of colour and texture distributions for skin cancer image segmentation

Nammalwar, Padmapriya, Ghita, Ovidiu and Whelan, Paul F. ORCID: 0000-0001-9230-7656 (2010) Integration of colour and texture distributions for skin cancer image segmentation. International Journal of Imaging (IJI), 4 (A10). ISSN 0974-0627

Full text available as:

[img]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
493kB

Abstract

This study presents an efficient way to segment the skin cancer images. A novel method is proposed 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 platform for the discrimination of skin lesions. The segmentation results are evaluated quantitatively by means of a comparative experiment on a set of skin cancer images. The evaluation of the proposed method is based on the comparison with Live Wire segmentation technique. The results indicate that the proposed methodology proved effective and efficient for the skin cancer image segmentation.

Item Type:Article (Published)
Refereed:Yes
Uncontrolled Keywords:computer vision; image analysis; Colour; Melanoma; Segmentation; Skin cancer; Testure
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:18609
Deposited On:13 Aug 2013 13:19 by Mark Sweeney . Last Modified 11 Jan 2019 13:51

Downloads

Downloads per month over past year

Archive Staff Only: edit this record

Altmetric
- Altmetric
+ Altmetric
  • Student Email
  • Staff Email
  • Student Apps
  • Staff Apps
  • Loop
  • Disclaimer
  • Privacy
  • Contact Us