A novel variational model for image segmentation

Authors:
Yanli Zhai;Dazhi Zhang;Jiebao Sun;Boying Wu
Affiliations:
-;-;-;-
Venue:
Journal of Computational and Applied Mathematics
Year:
2011

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Abstract

In this paper, we propose a new variational model for image segmentation. Our model is inspired by the complex Ginzburg-Landau model and the semi-norm defined by us. This new model can detect both the convex and concave parts of images. Moreover, it can also detect non-closed edges as well as quadruple junctions. Compared with other methods, the initialization is completely automatic and the segmented images obtained by using our new model could keep fine structures and edges of the original images very effectively. Finally, numerical results show the effectiveness of our model.