Automatic Skin Lesion Segmentation based on Saliency and Color

Giuliana Ramella

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Paper

Automatic Skin Lesion Segmentation based on Saliency and Color

Topics: Color and Texture Analyses; Segmentation and Grouping; Visual Attention and Image Saliency

In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, 452-459, 2020 , Valletta, Malta

Author: Giuliana Ramella

Affiliation: Institute for the Applications of Calculus “M. Picone”, CNR, Via P. Castellino 111, 80131 Naples, Italy

Keyword(s): Dermoscopic Images, Color Image Processing, Saliency Map, Skin Lesion Segmentation.

Abstract: Segmenting skin lesions in dermoscopic images is a key step for the automatic diagnosis of melanoma. In this framework, this paper presents a new algorithm that after a pre-processing phase aimed at reducing the computation burden, removing artifacts and improving contrast, selects the skin lesion pixels in terms of their saliency and color. The method is tested on a publicly available dataset and is evaluated both qualitatively and quantitatively.

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Paper citation in several formats:

Ramella, G. (2020). Automatic Skin Lesion Segmentation based on Saliency and Color. In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 4: VISAPP; ISBN 978-989-758-402-2; ISSN 2184-4321, SciTePress, pages 452-459. DOI: 10.5220/0009144904520459

@conference{visapp20,
author={Giuliana Ramella.},
title={Automatic Skin Lesion Segmentation based on Saliency and Color},
booktitle={Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 4: VISAPP},
year={2020},
pages={452-459},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009144904520459},
isbn={978-989-758-402-2},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 4: VISAPP
TI - Automatic Skin Lesion Segmentation based on Saliency and Color
SN - 978-989-758-402-2
IS - 2184-4321
AU - Ramella, G.
PY - 2020
SP - 452
EP - 459
DO - 10.5220/0009144904520459
PB - SciTePress