Tire impressions image segmentation algorithm based on C-V model without re-initialization

Abstract

In this paper, we present a new tire impressions image segmentation algorithm based on C-V model without re-initialization by introducing an internal energy term that penalizes the deviation of the level set function from a signed distance function into the C-V model. The proposed model can keep the approximately the level set function as a signed distance… (More)

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@article{Zhen2011TireII, title={Tire impressions image segmentation algorithm based on C-V model without re-initialization}, author={Wang Zhen and Wang Yunpeng and Li Shiwu}, journal={2011 IEEE 3rd International Conference on Communication Software and Networks}, year={2011}, pages={541-545} }