Contour segmentation based on GVF snake model and contourlet transform

Authors:
Xinhong Zhang;Kun Cai;Fan Zhang;Rui Li
Affiliations:
Institute of Image Processing and Pattern Recognition, Henan University, Kaifeng, China,Software School, Henan University, Kaifeng, China;College of Computer and Information Engineering, Henan University, Kaifeng, China;Institute of Image Processing and Pattern Recognition, Henan University, Kaifeng, China,College of Computer and Information Engineering, Henan University, Kaifeng, China;College of Computer and Information Engineering, Henan University, Kaifeng, China
Venue:
ICIC'13 Proceedings of the 9th international conference on Intelligent Computing Theories and Technology
Year:
2013

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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.