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文章基本信息

  • 标题:A Survey of Recent and Classical Image Registration Methods
  • 本地全文:下载
  • 作者:Siddharth Saxena ; Rajeev Kumar Singh
  • 期刊名称:International Journal of Signal Processing, Image Processing and Pattern Recognition
  • 印刷版ISSN:2005-4254
  • 出版年度:2014
  • 卷号:7
  • 期号:4
  • 页码:167-176
  • DOI:10.14257/ijsip.2014.7.4.16
  • 出版社:SERSC
  • 摘要:Image Registration is the process of aligning two or more images of the same scene taken from different viewpoints, at different times, from different sensors. Image registration aligns two images, i.e., base image and reference image, geometrically. There are different approaches of image registration and these approaches are categorized according to their nature that is areas based and feature based. These approaches are also categorized according to the four simple steps of image registration procedure: feature detection, feature matching, function mapping and transformation and re-sampling. Advantages and disadvantages of different methods are discussed in the paper. The main aim of this paper is to provide the knowledge of different image registrations methods used in different application area.
  • 关键词:Image registration; feature detection; feature matching; mapping function; ; sampling
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