標題: A context-based approach for color image retrieval
作者: Shih, JL
Chen, LH
資訊工程學系
Department of Computer Science
關鍵字: content-based image retrieval;primitives;clustering;relevance feedback algorithm
公開日期: 1-Mar-2002
摘要: In this paper, a color image retrieval method based on the primitives of images will be proposed. First, the context of each pixel in an image will be defined. Then, the contexts in the image are clustered into several classes based on the algorithm of fast noniterative clustering. The mean of the context in the same class is considered as a primitive of the image. The primitives are used as feature vectors. Since the numbers of primitives between images are different, a specially designed similarity measure is then proposed to do color image retrieval. To better adapt to the preferences of users, a relevance feedback algorithm is provided to automatically determine the weight of each primitive according to the user's response. To demonstrate the effectiveness of the proposed system, several test databases from Corel axe used to compare the performances of the proposed system with other methods. The experimental results show that the proposed system is superior to others.
URI: http://dx.doi.org/10.1142/S0218001402001630
http://hdl.handle.net/11536/29002
ISSN: 0218-0014
DOI: 10.1142/S0218001402001630
期刊: INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE
Volume: 16
Issue: 2
起始頁: 239
結束頁: 255
Appears in Collections:Articles


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