Contour construction based on adaptive grids

Authors:
Jinfeng Yang;Renbiao Wu;Ruihui Zhu;Yanjun Li
Affiliations:
Tianjin Key Lab for Advanced Signal Processing, Civil Aviation University of China, Tianjin, P.R. China;Tianjin Key Lab for Advanced Signal Processing, Civil Aviation University of China, Tianjin, P.R. China;Tianjin Key Lab for Advanced Signal Processing, Civil Aviation University of China, Tianjin, P.R. China;Tianjin Key Lab for Advanced Signal Processing, Civil Aviation University of China, Tianjin, P.R. China
Venue:
ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part II
Year:
2006

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Abstract

Contour information is always valuable for object analysis in image processing. In this paper, a new method of constructing contours of skin regions is proposed. To exploit skin formation in images, a nonlinear skin color classifier is first introduced. Then, a region splitting scheme is adopted to generate adaptive grids over skin regions. Based on the grids, initial contours are constructed. Finally, the contours are refined according to the minimum energy principle. Experimental results show that the proposed method has a good performance in contour construction of skin regions.