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A novel approach for skin region extraction in color images

  • Faculty of Electrical and Computer Engineering
  • University of Tabriz
  • Iranian Telecommunication Research Center
  • Iran University of Science and Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, a novel approach for skin regions extraction of color images is presented. In this approach, a new method has been proposed that operates independent of a specific threshold value. For this goal, initially, a set of 13731 skin color samples from different databases such as CBCL and IFD is selected. A mixture function of three Gaussian functions is applied on these samples in order to create a skin color feature extractor. The result of applying this function on an input image is a gray level image called Skin Probability Map (SPM) image. Then, a method based on the contour plot on the gray level SPM image is used to extract the skin areas. Simulation results show that with the same true positive rate, our proposed algorithm has smaller false detection rate.

Original languageEnglish
Title of host publicationICSPC 2007 Proceedings - 2007 IEEE International Conference on Signal Processing and Communications
Pages876-879
Number of pages4
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event2007 IEEE International Conference on Signal Processing and Communications, ICSPC 2007 - Dubai, United Arab Emirates
Duration: 14 Nov 200727 Nov 2007

Publication series

NameICSPC 2007 Proceedings - 2007 IEEE International Conference on Signal Processing and Communications

Conference

Conference2007 IEEE International Conference on Signal Processing and Communications, ICSPC 2007
Country/TerritoryUnited Arab Emirates
CityDubai
Period14/11/0727/11/07

Keywords

  • Contour plot
  • K-means algorithm
  • SPM image

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