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AUTOMATIC SKIN DETECTION TECHNIQUE FOR COLOR IMAGES

Tudor Barbu

First published: 2010DOI pendingView metrics

Abstract

We propose a skin detection approach that works for digital color images. First, we make an introduction in this image analysis domain, mentioning the most important human skin identification techniques. Then, we provide a pixel-based skin color detection technique for RGB images. Our approach performs the identification of skin regions using conversions between color spaces and formulating a set of restrictions on the color components. Some experiments, proving the effectiveness of the proposed method, are also described in this paper.

Publication details

Title
AUTOMATIC SKIN DETECTION TECHNIQUE FOR COLOR IMAGES
Authors
Tudor Barbu
Proceedings
10th International Multidisciplinary Scientific GeoConference SGEM2010
Publisher
SGEM Scientific GeoConference
Year
2010
Pages
1047-1052
SWS Citekey
Barbu201038
ISSN
1314-2704
ISBN
954-91818-1-2
Language
en
Publication type
Conference Paper
Keywords
References10
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  4. T. Barbu. Eigenimage-based face recognition approach using gradient covariance, Numerical Functional Analysis and Optimization, Vol. 28, Issue 5 & 6, May 2007, pp. 591-601.

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  8. T. Acharya, A. K. Ray. Image Processing - Principles and Applications, Wiley InterScience, 2005.

  9. T. Barbu. Approximations of the filtering problem via fractional steps method. Communications in Applied Analysis, Vol. 8, No. 2, Dynamic Publishers, USA, April 2004, pp. 263-278.

  10. T. Barbu, V. Barbu, V. Biga, D. Coca. A PDE variational approach to image denoising and restoration, Nonlinear Analysis: Real World Applications, Volume 10, Issue 3, June 2009, pp. 1351-1361.

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