Image texture representation and retrieval based on power spectral histograms

被引：0
|
作者：
Wang, CJ [1 ]
Yang, YB [1 ]
Li, WJ [1 ]
Chen, SF [1 ]
机构：
[1] Nanjing Univ, Natl Lab Novel Software Technol, Nanjing 210093, Peoples R China
来源：
ICTAI 2004: 16TH IEEE INTERNATIONALCONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE, PROCEEDINGS | 2004年
关键词：
content-based image retrieval; texture extraction; co-occurrence matrix; similarity measurement;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents a texture based image retrieval method, called RAH, in the frequency domain. In RAH, texture features are represented as power spectral histograms of images. RAH mainly consists of two parts: the extraction of texture features based on the histogram of image power spectral in the frequency domain and the similarity measurement function based on the texture features. The experimental results indicate that RAH outperforms the traditional co-occurrence matrix texture representation.
引用
收藏
页码：491 / 495
页数：5
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