A method of human skin region detection based on PCNN - Details

Author：

Duan, Lijuan (Duan, Lijuan.) (Scholars：段立娟) | Lin, Zhiqiang (Lin, Zhiqiang.) | Miao, Jun (Miao, Jun.) | Qiao, Yuanhua (Qiao, Yuanhua.) (Scholars：乔元华)

Indexed by：

EI Scopus

Abstract：

A　method　of　human　skin　region　detection　based　on　PCNN　is　proposed　in　this　paper.　Firstly,　the　input　origin　image　is　translated　from　RGB　color　space　to　YIQ　color　space,　and　I　channel　image　is　obtained.　Secondly,　we　use　the　synchronous　pulse　firing　mechanism　of　pulse　coupled　neural　network　(PCNN)　to　simulate　the　skin　region　detection　mechanism　of　human　eyes.　Skin　and　non-skin　regions　are　fired　in　different　time.　Therefore,　skin　regions　are　detected.　Our　comparison　with　other　methods　shows　that　the　proposed　method　produces　more　accurate　segmentation　results.　©　2009　Springer　Berlin　Heidelberg.

Keyword：

Color Neural networks

Author Community：

[ 1 ] [Duan, Lijuan]College of Computer Science and Technology, Beijing University of Technology, Beijing 100124, China
[ 2 ] [Lin, Zhiqiang]College of Computer Science and Technology, Beijing University of Technology, Beijing 100124, China
[ 3 ] [Miao, Jun]Key Lab of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China
[ 4 ] [Qiao, Yuanhua]College of Applied Science, Beijing University of Technology, Beijing 100124, China