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An image matching recognition approach based on ICM icon

  • Ruixing Yu
  • , Bing Zhu
  • , Ke Zhang
  • , Meibo Lv
  • Northwestern Polytechnical University Xian

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

The scale and rotation change of target make the effect of image matching recognition worse. In order to resolve this problem, a novel recognition algorithm based on intersecting cortical model (ICM) icon was introduced, which provides an invariant representation of the object's rotation, scaling and translation. First, the real-time map and the reference map were input to ICM model to get icons. Then, similarity is analyzed between two icons to realize object matching recognition. This algorithm not only works well when the target has the scale change or rotation, but also has the low operation cost. Last, the experiments show the new method's effectiveness and superiority.

Original languageEnglish
Title of host publicationProceedings - 5th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2008
Pages20-23
Number of pages4
DOIs
StatePublished - 2008
Event5th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2008 - Jinan, Shandong, China
Duration: 18 Oct 200820 Oct 2008

Publication series

NameProceedings - 5th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2008
Volume4

Conference

Conference5th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2008
Country/TerritoryChina
CityJinan, Shandong
Period18/10/0820/10/08

Keywords

  • Icon
  • Intersecting cortical model (ICM)
  • Invariant feature
  • Matching
  • Target recognition

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