Radiograph image similarity computation using local similarity patterns generated by genetic algorithm

Xin Hui Duan, Li Zhang

Research output: Contribution to journalArticle

Abstract

Local similarity pattern is proposed as a new method for computing image similarity. Images for comparing are divided into uniform regions and we obtain the similarity by comparing corresponding areas with several features. Genetic algorithm is proposed to optimize the model and to get global optimization.

Original languageEnglish (US)
JournalHedianzixue Yu Tance Jishu/Nuclear Electronics and Detection Technology
Volume26
Issue number3
StatePublished - May 2006

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Global optimization
genetic algorithms
Genetic algorithms
optimization

Keywords

  • Genetic algorithm
  • Image similarity
  • Radiograph image

ASJC Scopus subject areas

  • Energy Engineering and Power Technology

Cite this

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title = "Radiograph image similarity computation using local similarity patterns generated by genetic algorithm",
abstract = "Local similarity pattern is proposed as a new method for computing image similarity. Images for comparing are divided into uniform regions and we obtain the similarity by comparing corresponding areas with several features. Genetic algorithm is proposed to optimize the model and to get global optimization.",
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