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  • 标题:Cross Correlation versus Mutual Information for Image Mosaicing
  • 本地全文:下载
  • 作者:Sherin Ghannam ; A. Lynn Abbott
  • 期刊名称:International Journal of Advanced Computer Science and Applications(IJACSA)
  • 印刷版ISSN:2158-107X
  • 电子版ISSN:2156-5570
  • 出版年度:2013
  • 卷号:4
  • 期号:11
  • DOI:10.14569/IJACSA.2013.041113
  • 出版社:Science and Information Society (SAI)
  • 摘要:This paper reviews the concept of image mosaicing and presents a comparison between two of the most common image mosaicing techniques. The first technique is based on normalized cross correlation (NCC) for registering overlapping 2D images of a 3D scene. The second is based on mutual information (MI). The experimental results demonstrate that the two techniques have a similar performance in most cases but there are some interesting differences. The choice of a distinctive template is critical when working with NCC. On the other hand, when using MI, the registration procedure was able to provide acceptable performance even without distinctive templates. But generally the performance when using MI with large rotation angles was not accurate as with NCC.
  • 关键词:thesai; IJACSA; thesai.org; journal; IJACSA papers; mosaicing; normalized cross correlation; mutual information
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