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Novel image registration method using edge correlation

机译:利用边缘相关的新型图像配准方法

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摘要

By considering edge similarity of images sensed in different wave bands of the same landform, a novel image registration method using edge correlation as the similarity measure is proposed. Edge correlation involves spatial information of images, which reflects well their structures. We employ significant edge curves with long length, instead of isolated edge points, to calculate the correlation which makes the proposed method more robust to noise. Experimental results prove that, for images corresponding to the same landform, edge correlation nearly always yields a single sharp peak at the correct alignment parameters, and the proposed method has more accurate registration results than mutual-information-based methods, especially under noisy conditions.
机译:通过考虑在同一地形的不同波段上检测到的图像的边缘相似性,提出了一种新的以边缘相关性作为相似性度量的图像配准方法。边缘相关涉及图像的空间信息,可以很好地反映其结构。我们使用长的有效边缘曲线,而不是孤立的边缘点,来计算相关性,这使得所提出的方法对噪声更加鲁棒。实验结果证明,对于具有相同地形的图像,边缘相关性几乎总是在正确的对齐参数下产生单个尖峰,并且该方法比基于互信息的方法具有更准确的配准结果,尤其是在嘈杂的条件下。

著录项

  • 来源
    《Optical engineering》 |2010年第1期|p.017003.1-017003.7|共7页
  • 作者

    Xi Cai; Wei Zhao;

  • 作者单位

    Beihang University School of Electronics and Information Engineering 37 Xue Yuan Road Haidian Beijing 100191, China;

    Beihang University School of Electronics and Information Engineering 37 Xue Yuan Road Haidian Beijing 100191, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    image registration; spatial information; multiscale edge detection; edge correlation;

    机译:图像配准;空间信息;多尺度边缘检测;边缘相关;

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