A Method of Human Skin Region Detection Based on PCNN

Authors:
Lijuan Duan;Zhiqiang Lin;Jun Miao;Yuanhua Qiao
Affiliations:
College of Computer Science and Technology, Beijing University of Technology, Beijing, China 100124;College of Computer Science and Technology, Beijing University of Technology, Beijing, China 100124;Key Lab of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China 100190;College of Applied Science, Beijing University of Technology, Beijing, China 100124
Venue:
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III
Year:
2009

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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.