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Research on image registration based on D-Nets

机译:基于D-Nets的图像配准研究

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摘要

Image registration is the key technology of digital imaging applications, it is used widely. We researched the image registration techniques in this paper. Based on the basis of D-Nets image registration algorithms, we propose a new innovation. We turn first to process image, so we can get synthetic images of original images and enhanced images. Then we extract SIFT feature in the original image. Next, in order to reduce noise of the image, we use the Gauss filter to process the synthesized image. Then we do experiments with synthetic images in the process of image registration. In this process, we use the D-Nets algorithm to achieve. Compared to the existing method, it can greatly improve the accuracy and recall.
机译:图像配准是数字成像应用的关键技术,被广泛使用。我们研究了图像配准技术。在D-Nets图像配准算法的基础上,我们提出了一项新的创新。我们首先处理图像,以便获得原始图像和增强图像的合成图像。然后我们在原始图像中提取SIFT特征。接下来,为了减少图像的噪点,我们使用高斯滤波器来处理合成图像。然后在图像配准过程中对合成图像进行实验。在此过程中,我们使用D-Nets算法来实现。与现有方法相比,可以大大提高准确性和查全率。

著录项

  • 来源
    《Pattern recognition》|2017年|104430S.1-104430S.5|共5页
  • 会议地点 Singapore(SG)
  • 作者单位

    Department of Computer Science and Technology, Shandong University of Finance and Economics,jinan250014, China;

    Department of Computer Science and Technology, Shandong University of Finance and Economics,jinan250014, China;

    Department of Computer Science and Technology, Shandong University of Finance and Economics,jinan250014, China;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    image registration; D-Nets; synthesized image; accuracy; recall;

    机译:图像配准; D网合成图像准确性;召回;

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