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16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'04)
Image Texture Representation and Retrieval Based on Power Spectral Histograms
Boca Raton, Florida
November 15-November 17
ISBN: 0-7695-2236-X
ASCII Text
x 
 
Chong-jun Wang, Yu-bin Yang, Wu-jun Li, Shi-fu Chen, "Image Texture Representation and Retrieval Based on Power Spectral Histograms," Tools with Artificial Intelligence, IEEE International Conference on, pp. 491-495, 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'04), 2004.
 
 
BibTex
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@article{ 10.1109/ICTAI.2004.73,
author = {Chong-jun Wang and Yu-bin Yang and Wu-jun Li and Shi-fu Chen},
title = {Image Texture Representation and Retrieval Based on Power Spectral Histograms},
journal ={Tools with Artificial Intelligence, IEEE International Conference on},
volume = {0},
year = {2004},
issn = {1082-3409},
pages = {491-495},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICTAI.2004.73},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Tools with Artificial Intelligence, IEEE International Conference on
TI - Image Texture Representation and Retrieval Based on Power Spectral Histograms
SN - 1082-3409
SP491
EP495
A1 - Chong-jun Wang,
A1 - Yu-bin Yang,
A1 - Wu-jun Li,
A1 - Shi-fu Chen,
PY - 2004
KW - Content-based image retrieval
KW - texture extraction
KW - co-occurrence matrix
KW - similarity measurement
VL - 0
JA - Tools with Artificial Intelligence, IEEE International Conference on
ER -
 
Chong-jun Wang, Nanjing University
Yu-bin Yang, Nanjing University
Wu-jun Li, Nanjing University
Shi-fu Chen, Nanjing University
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.
Index Terms:
Content-based image retrieval, texture extraction, co-occurrence matrix, similarity measurement
Citation:
Chong-jun Wang, Yu-bin Yang, Wu-jun Li, Shi-fu Chen, "Image Texture Representation and Retrieval Based on Power Spectral Histograms," ictai, pp.491-495, 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'04), 2004
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