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English(EN) A global optimization SAR image segmentation model can be easily transformed to a general ROF denoising model

新模型将SAR图像分割转化为去噪问题

作者 PulseAugur 编辑部 · [3 个来源] ·

研究人员开发了新的合成孔径雷达（SAR）图像分割方法，SAR图像常受噪声和强度变化影响。这些方法将复杂的分割模型转化为更易于处理的去噪问题，特别是利用了Rudin-Osher-Fatemi（ROF）模型。所提出的技术为图像分割提供了高效且全局优化的解决方案，其中一些方法比Split Bregman技术等先前方法更快。 AI

影响 图像分割和去噪方面的这些进步可以提高各种AI应用中复杂图像数据处理的准确性和效率。

排序理由 该集群包含三篇arXiv预印本，详细介绍了图像分割和去噪算法的新研究。

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 3 个来源。 我们如何撰写摘要 →

新模型将SAR图像分割转化为去噪问题

报道来源 [3]

  1. arXiv cs.CV TIER_1 English(EN) · Guangming Liu ·

    A global optimization SAR image segmentation model can be easily transformed to a general ROF denoising model

    arXiv:2312.08376v3 Announce Type: replace Abstract: In this paper, we propose a novel locally statistical active contour model (LACM) based on Aubert-Aujol (AA) denoising model and variational level set method, which can be used for SAR images segmentation with intensity inhomoge…

  2. arXiv cs.CV TIER_1 English(EN) · Guangming Liu ·

    Active contours driven by local and global intensity fitting energy with application to SAR image segmentation and its fast solvers

    arXiv:2312.11849v3 Announce Type: replace Abstract: In this paper, we propose a novel variational active contour model based on Aubert-Aujol (AA) denoising model, which hybrides geodesic active contour (GAC) model with active contours without edges (ACWE) model and can be used to…

  3. arXiv cs.CV TIER_1 English(EN) · Guangming Liu ·

    A locally statistical active contour model for SAR image segmentation can be solved by denoising algorithms

    arXiv:2401.10083v3 Announce Type: replace Abstract: In this paper, we propose a novel locally statistical variational active contour model based on I-divergence-TV denoising model, which hybrides geodesic active contour (GAC) model with active contours without edges (ACWE) model,…

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