Liu Zhao
An automated mean-shift based segmentation for pigmented skin lesions
Zhao, Liu; Sun, Jiuai; Smith, Melvyn; Smith, Lyndon; Warr, Robert
Authors
Jiuai Sun
Melvyn Smith Melvyn.Smith@uwe.ac.uk
Research Centre Director Vision Lab/Prof
Lyndon Smith Lyndon.Smith@uwe.ac.uk
Professor in Computer Simulation and Machine
Robert Warr
Abstract
This paper presents an unsupervised segmentation scheme to isolate pigmented skin lesion from surrounding normal skin. An adaptive mean-shift algorithm combined with maximal
similarity based region merging is applied with a colour-spatial feature space to improve the efficiency and robustness of the segmentation approach. Upon comparison, the proposed method demonstrates good performance in achieving an automatic segmentation on various real skin data collected by ourselves and those downloaded from public dataset.
Citation
Zhao, L., Sun, J., Smith, M., Smith, L., & Warr, R. (2010, July). An automated mean-shift based segmentation for pigmented skin lesions. Paper presented at 2010 Proceedings of Medical Image Understanding and Analysis (MIUA), Warwick
Presentation Conference Type | Conference Paper (unpublished) |
---|---|
Conference Name | 2010 Proceedings of Medical Image Understanding and Analysis (MIUA) |
Conference Location | Warwick |
Start Date | Jul 1, 2010 |
End Date | Jul 1, 2010 |
Publication Date | Jul 1, 2010 |
Peer Reviewed | Peer Reviewed |
Public URL | https://uwe-repository.worktribe.com/output/977893 |
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