전자공학회논문지B (Journal of the Korean Institute of Telematics and Electronics B)
- 제33B권7호
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- Pages.60-69
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- 1996
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- 1016-135X(pISSN)
내용기반 화상 검색시스템의 설계 및 구현
The design and implementation of a content-based image retrieval system
초록
To retrieve complex data such as images in multimedia information, we need the content-based retrieval methods based on the visual properties rather than keywords. In this paper, a contrent-based image retrieval system is desinged and implemented to retrieve images using the features of images such as colors, lines and intensity vetor features when a visual query inputs. The contents for image retrievals are the color features extracted from the color component of 16 blocks of the image, th eline features extracted form 4 lines in the image and the shape features extracted from the intensity vectors of the 16 blocks. We can either use a whole image or a sketch image for query. As the experimental results demonstrate the precision 91% the recall 33% and the average rank 3.1 the retrieval performance is found to be high. The experimental results indicate that the retrieval using the weighted features have led to substantial improvement in the percision and performance of system.
키워드