Proceedings of the Korean Information Science Society Conference (한국정보과학회:학술대회논문집)

  • 2006.06b
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  • Pages.193-195
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  • 2006
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  • 1598-5164(pISSN)
Korean Institute of Information Scientists and Engineers (한국정보과학회)
권호 표지

Genetic Algorithm for Image Feature Selection

영상 특징 선택을 위한 유전 알고리즘

  • Shin Youns-Geun (Dept. of Industrial Systems and Information Engineering, Korea University) ;
  • Park Sang-Sung (Dept. of Industrial Systems and Information Engineering, Korea University) ;
  • Jang Dong-Sik (Dept. of Industrial Systems and Information Engineering, Korea University)
  • 신영근 (고려대학교 산업시스템정보공학과) ;
  • 박상성 (고려대학교 산업시스템정보공학과) ;
  • 장동식 (고려대학교 산업시스템정보공학과)
  • Published : 2006.06.01
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Abstract

As multimedia information increases sharply, In image retrieval field the method that can analyze image data quickly and exactly is required. In the case of image data, because each data includes a lot of informations, between accuracy and speed of retrieval become trade-off. To solve these problem, feature vector extracting process that use Genetic Algorithm for implementing prompt and correct image clustering system in case of retrieval of mass image data is proposed. After extracting color and texture features, the representative feature vector among these features is extracted by using Genetic Algorithm.

Keywords