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.
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© 2006 Springer-Verlag Berlin Heidelberg
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Yang, J., Wu, R., Zhu, R., Li, Y. (2006). Contour Construction Based on Adaptive Grids. In: Jiao, L., Wang, L., Gao, X., Liu, J., Wu, F. (eds) Advances in Natural Computation. ICNC 2006. Lecture Notes in Computer Science, vol 4222. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11881223_83
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DOI: https://doi.org/10.1007/11881223_83
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-45907-1
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