Image Texture Representation and Retrieval Based on Power Spectral Histograms

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http://doi.ieeecomputersociety.org/10.1109/ICTAI.2004.73

16th IEEE International Conference on ...

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	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	x
	@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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