A new starry images matching method in dim and small space target detection

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Abstract

In this paper, a starry image matching method based on isomorphism sub graph and LCS (Longest Common Sub-sequence) is proposed for dim and small space target detecting. A starry image mainly consists of a background with a large number of low-gray pixels and bright but small facular. The relative location of the stars can be regarded as a feature set for matching in the form of a graph. While matching two graphs, the LCS is applied for measuring the similarity and acquiring the isomorphism sub graph. Due to the characteristic of the starry image, this method could deal with the images with more rotation and shift. Experimental results show that this method can provide a good way for the trajectory acquisition of dim and small targets.

Original languageEnglish
Title of host publicationProceedings of the 5th International Conference on Image and Graphics, ICIG 2009
PublisherIEEE Computer Society
Pages447-450
Number of pages4
ISBN (Print)9780769538839
DOIs
StatePublished - 2009
Event5th International Conference on Image and Graphics, ICIG 2009 - Xi'an, Shanxi, China
Duration: 20 Sep 200923 Sep 2009

Publication series

NameProceedings of the 5th International Conference on Image and Graphics, ICIG 2009

Conference

Conference5th International Conference on Image and Graphics, ICIG 2009
Country/TerritoryChina
CityXi'an, Shanxi
Period20/09/0923/09/09

Keywords

  • Dim and small target
  • Isomorphism sub graph
  • LCS
  • Target detection

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