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

  • Northwestern Polytechnical University Xian

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

12 引用 (Scopus)

摘要

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.

源语言英语
主期刊名Proceedings of the 5th International Conference on Image and Graphics, ICIG 2009
出版商IEEE Computer Society
页447-450
页数4
ISBN(印刷版)9780769538839
DOI
出版状态已出版 - 2009
活动5th International Conference on Image and Graphics, ICIG 2009 - Xi'an, Shanxi, 中国
期限: 20 9月 2009 → 23 9月 2009

丛书

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

会议

会议5th International Conference on Image and Graphics, ICIG 2009
国家/地区中国
市Xi'an, Shanxi
时期20/09/09 → 23/09/09

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