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2014 | OriginalPaper | Chapter

Skin Detection and Segmentation in Color Images

Authors : Michal Kawulok, Jakub Nalepa, Jolanta Kawulok

Published in: Advances in Low-Level Color Image Processing

Publisher: Springer Netherlands

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Abstract

This chapter presents an overview of existing methods for human skin detection and segmentation. First of all, the skin color modeling schemes are outlined, and their limitations are discussed based on the presented experimental study. Then, we explain the techniques which were reported helpful in improving the efficacy of color-based classification, namely (1) textural features extraction, (2) model adaptation schemes, and (3) spatial analysis of the skin blobs. The chapter presents meaningful qualitative and quantitative results obtained during our study, which demonstrate the benefits of exploiting particular techniques for improving the skin detection outcome.

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Title: Skin Detection and Segmentation in Color Images
Authors: Michal Kawulok
Jakub Nalepa
Jolanta Kawulok
Publisher: Springer Netherlands
Book: Advances in Low-Level Color Image Processing
Print ISBN: 978-94-007-7583-1

Electronic ISBN: 978-94-007-7584-8

Copyright Year: 2014
DOI: https://doi.org/10.1007/978-94-007-7584-8_11

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