Abstract
Dislocation theory of material science is introduced into the level set method. The curve evolution of level set method is viewed as the slipping of edge dislocation, and the curve evolution is driven by the dislocation configuration force which is derived based on the dislocation dynamics mechanism. In the image segmentation, the proposed algorithm can effectively avoid the phenomenon that level set function stop evolution because of the abnormal image gradient, and the phenomenon of boundary leakage because of the smaller image gradient. Experimental results show that the proposed algorithm has better segmentation performance for images with weak boundaries.
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Acknowledgment
This research was supported by the Natural Science Foundation of China (No. 61771006 and No. U1504621), the Natural Science Foundation of Henan Province (No. 162300410032).
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Zhang, F., Zhang, B., Zhang, X. (2019). Dislocation Theory Based Level Set Image Segmentation. In: Huang, DS., Bevilacqua, V., Premaratne, P. (eds) Intelligent Computing Theories and Application. ICIC 2019. Lecture Notes in Computer Science(), vol 11643. Springer, Cham. https://doi.org/10.1007/978-3-030-26763-6_21
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DOI: https://doi.org/10.1007/978-3-030-26763-6_21
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