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English(EN) Logarithmic Mathematical Morphology: Theory and applications

对数数学形态学为图像分析提供新方法

已开发出一个名为对数数学形态学(LMM)的新框架,以解决传统数学形态学在图像分析中的局限性。LMM 利用对数图像处理框架创建对光照变化具有鲁棒性的算子,这是加性结构函数不能准确模拟图像强度变化的一个常见问题。该方法以物理原因模拟光照变化,从而能够更准确地分析光照不一致的图像。 AI

排序理由 详细介绍图像处理新理论框架的学术论文。[lever_c_demoted from research: ic=1 ai=0.4]

在 arXiv cs.CV 阅读 →

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对数数学形态学为图像分析提供新方法

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详细介绍图像处理新理论框架的学术论文。[lever_c_demoted from research: ic=1 ai=0.4]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Guillaume Noyel (CRESTIC) ·

    对数数学形态学:理论与应用

    arXiv:2309.02007v3 Announce Type: replace-cross Abstract: In Mathematical Morphology for grey-level functions, an image is analysed by another image named the structuring function. This structuring function is translated over the image domain and summed to the image. However, in …