- P-ISSN1013-0799
- E-ISSN2586-2073
- KCI
데이터 융합을 이용한 내용기반 이미지 검색에 관한 연구
Content-based Image Retrieval Using Data Fusion Strategy
Sun-Eun Jung (Konkuk U)
Euigun Ahn (Yonsei U)
김기용 (건국대학교)
신문선 (건국대학교)
Abstract
In many information retrieval experiments, the data fusion techniques have been used to achieve higher effectiveness in comparison to the single evidence-based retrieval. However, there had not been many image retrieval studies using the data fusion techniques especially in combining retrieval results based on multiple retrieval methods. In this paper, we describe how the image retrieval effectiveness can be improved by combining two sets of the retrieval results using the Sobel operator-based edge detection and the Self Organizing Map(SOM) algorithms. We used the clip art images from a commercial collection to develop a test data set. The main advantage of using this type of the data set was the clear cut relevance judgment, which did not require any human interven- tion.
- keywords
- 내용기반 이미지 검색, 데이터 융합, 소벨 윤곽선 검출, 자기조직화 지도, 클립아트 이미지, content-based image retrieval, data fusion, Sobel edge detection algorithm, Self-Organizing Map(SOM) algorithm, clip art images
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