한국정보과학회:학술대회논문집 (Proceedings of the Korean Information Science Society Conference)
- 한국정보과학회 2006년도 한국컴퓨터종합학술대회 논문집 Vol.33 No.1 (B)
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- Pages.193-195
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- 2006
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- 1598-5164(pISSN)
영상 특징 선택을 위한 유전 알고리즘
Genetic Algorithm for Image Feature Selection
- 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)
- 발행 : 2006.06.01
초록
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.
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