A Self-adaptation Method for Human Skin Segmentation based on Seed Growing

Anderson Carlos Sousa e Santos, Helio Pedrini

2015

Abstract

Human skin segmentation has several applications in image and video processing fields, whose main purpose is to distinguish image portions between skin and non-skin regions. Despite the large number of methods available in the literature, accurate skin segmentation is still a challenging task. Many methods rely on color information, which does not completely discriminate the image regions due to variations in lighting conditions and ambiguity between skin and background color. Therefore, there is still need to adapt the segmentation to particular conditions of the images. In contrast to the methods that rely on faces, hands or any other body content detector, we describe a self-contained method for adaptive skin segmentation that makes use of spatial analysis to produce regions from which the overall skin can be estimated. A comparison with state-of-the-art methods using a well known challenging data set shows that our method provides significant improvement on the skin segmentation.

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Paper Citation


in Harvard Style

Sousa e Santos A. and Pedrini H. (2015). A Self-adaptation Method for Human Skin Segmentation based on Seed Growing . In Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2015) ISBN 978-989-758-089-5, pages 455-462. DOI: 10.5220/0005295204550462


in Bibtex Style

@conference{visapp15,
author={Anderson Carlos Sousa e Santos and Helio Pedrini},
title={A Self-adaptation Method for Human Skin Segmentation based on Seed Growing},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2015)},
year={2015},
pages={455-462},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005295204550462},
isbn={978-989-758-089-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2015)
TI - A Self-adaptation Method for Human Skin Segmentation based on Seed Growing
SN - 978-989-758-089-5
AU - Sousa e Santos A.
AU - Pedrini H.
PY - 2015
SP - 455
EP - 462
DO - 10.5220/0005295204550462