Abstract
A contour segmentation algorithm is proposed based on GVF Snake model and Contourlet transform. Firstly, object contours of images can be obtained based on Contourlet Transform, and those contours will be identified as the initial contour of GVF Snake model. Secondly, GVF Snake model is used to detect the contour edge of human gait motion. Experimental results show that the proposed method can extract the edge feature accurately and efficiently. © 2013 Springer-Verlag.
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CITATION STYLE
Zhang, X., Cai, K., Zhang, F., & Li, R. (2013). Contour segmentation based on GVF snake model and contourlet transform. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7996 LNAI, pp. 503–508). https://doi.org/10.1007/978-3-642-39482-9_58
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