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Skin Detection and Segmentation in Color Images

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Advances in Low-Level Color Image Processing

Part of the book series: Lecture Notes in Computational Vision and Biomechanics ((LNCVB,volume 11))

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.

An erratum to this chapter is available at 10.1007/978-94-007-7584-8_14

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Acknowledgments

This work has been supported by the Polish Ministry of Science and Higher Education under research grant no. IP2011 023071 from the Science Budget 2012–2013 and the European Union from the European Social Fund (grant agreement number: UDA-POKL.04.01.01-00-106/09.

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  1. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Michal Kawulok, Jakub Nalepa & Jolanta Kawulok

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  1. Michal Kawulok
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Correspondence to Michal Kawulok .

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  1. Computer Science dept., Louisiana State University, Shreveport, Louisiana, USA

    M. Emre Celebi

  2. Automatic Control, Silesian University of Technology, Gliwice, Poland

    Bogdan Smolka

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Kawulok, M., Nalepa, J., Kawulok, J. (2014). Skin Detection and Segmentation in Color Images. In: Celebi, M., Smolka, B. (eds) Advances in Low-Level Color Image Processing. Lecture Notes in Computational Vision and Biomechanics, vol 11. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-7584-8_11

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