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Author:

Liu, Pengyu (Liu, Pengyu.) | Jia, Kebin (Jia, Kebin.) (Scholars:贾克斌) | Lv, Zhuoyi (Lv, Zhuoyi.)

Indexed by:

EI Scopus

Abstract:

How to use low-level image features such as color, texture, shape, spatial relationship etc. logically in retrieval is an important problem for both retrieval system and users. An image retrieval method based on the four kinds of image low-level features is proposed in this paper. According to image texture characteristic, a kind of image feature statistic is defined. By using feature weight assignment operators designed here, the method can assign weight to the above four features adaptively and realize image retrieval based on combined image features. The experiment results show that the method mentioned above is more efficient than those based on only one kind visual feature. © 2007 IEEE.

Keyword:

Mathematical operators Problem solving Statistics Visual servoing Feature extraction Image retrieval User interfaces

Author Community:

  • [ 1 ] [Liu, Pengyu]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, 100022, China
  • [ 2 ] [Jia, Kebin]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, 100022, China
  • [ 3 ] [Lv, Zhuoyi]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, 100022, China

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Year: 2007

Language: English

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WoS CC Cited Count:

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ESI Highly Cited Papers on the List: 0 Unfold All

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Chinese Cited Count:

30 Days PV: 1

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