Image texture representation and retrieval based on power spectral histogram

Author

Chong-jun, Wang ; Yu-Bin, Yang ; Wu-Jun, Li ; Shi-Fu, Chen

Author_Institution

Nat. Lab. for Novel Software Technol., Nanjing Univ., China

fYear

2004

fDate

15-17 Nov. 2004

Firstpage

491

Lastpage

495

Abstract

This work 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 cooccurrence matrix texture representation.

Keywords

content-based retrieval; feature extraction; image representation; image retrieval; image texture; matrix algebra; spectral analysis; statistical analysis; visual databases; RAH texture based image retrieval method; cooccurrence matrix texture representation; power spectral histograms; similarity measurement function; texture feature extraction; Data mining; Discrete Fourier transforms; Feature extraction; Frequency domain analysis; Frequency measurement; Histograms; Image analysis; Image retrieval; Image texture; Power measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Tools with Artificial Intelligence, 2004. ICTAI 2004. 16th IEEE International Conference on

ISSN

1082-3409

Print_ISBN

0-7695-2236-X

Type

conf

DOI

10.1109/ICTAI.2004.73

Filename

1374227