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Authors: F. Peruch ; F. Bogo ; M. Bonazza ; M. Bressan ; V. Cappelleri and E. Peserico

Affiliation: Univ. Padova, Italy

Keyword(s): Segmentation, Dermatoscopy, Melanoma, Melanocytic Lesion, Naevus.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Computer Vision, Visualization and Computer Graphics ; Image and Video Analysis ; Medical Image Applications ; Segmentation and Grouping

Abstract: We present a novel technique for melanocytic lesion segmentation, based on one-dimensional Principal Component Analysis (PCA) in colour space. Our technique is simple and extremely fast, segmenting highresolution images in a fraction of a second even with the modest computational resources available on a cell phone – an improvement of an order of magnitude or more over state-of-the-art techniques. Our technique is also extremely accurate: very experienced dermatologists disagree with its segmentations less than they disagree with the segmentations of all state-of-the-art techniques we tested, and in fact less than they disagree with the segmentations of dermatologists of moderate experience.

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Paper citation in several formats:
Peruch, F.; Bogo, F.; Bonazza, M.; Bressan, M.; Cappelleri, V. and Peserico, E. (2013). Simple, Fast, Accurate Melanocytic Lesion Segmentation in 1D Colour Space. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 1: VISAPP; ISBN 978-989-8565-47-1; ISSN 2184-4321, SciTePress, pages 191-200. DOI: 10.5220/0004289601910200

@conference{visapp13,
author={F. Peruch. and F. Bogo. and M. Bonazza. and M. Bressan. and V. Cappelleri. and E. Peserico.},
title={Simple, Fast, Accurate Melanocytic Lesion Segmentation in 1D Colour Space},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 1: VISAPP},
year={2013},
pages={191-200},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004289601910200},
isbn={978-989-8565-47-1},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 1: VISAPP
TI - Simple, Fast, Accurate Melanocytic Lesion Segmentation in 1D Colour Space
SN - 978-989-8565-47-1
IS - 2184-4321
AU - Peruch, F.
AU - Bogo, F.
AU - Bonazza, M.
AU - Bressan, M.
AU - Cappelleri, V.
AU - Peserico, E.
PY - 2013
SP - 191
EP - 200
DO - 10.5220/0004289601910200
PB - SciTePress