March 21, 2024, 4:45 a.m. | Wenqi Zhao

cs.CV updates on arXiv.org arxiv.org

arXiv:2403.13392v1 Announce Type: new
Abstract: In order to improve the robustness of traditional image segmentation models to noise, this paper models the illumination term in intensity inhomogeneity images. Additionally, to enhance the model's robustness to noisy images, we incorporate the binary level set model into the proposed model. Compared to the traditional level set, the binary level set eliminates the need for continuous reinitialization. Moreover, by introducing the variational operator GL, our model demonstrates better capability in segmenting noisy images. …

abstract arxiv binary cs.cv image images intensity noise paper robust robustness segmentation set type

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