Research on Industry Image Technology with the Integration Algorithm of Color Features and Feedback of Image Retrieval

Article Preview

Abstract:

Current image retrieval methods use only one kind of image features, which can not describe image content completely. In this paper, an image retrieval method based on color and texture integration is proposed. Calculation of similarity for the individual features is normalized before color feature integration. In order to improve the precision of image retrieval, a relevance feedback mechanism is invoked. The experiment results show that the proposed method has an excellent retrieval performance.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

520-524

Citation:

Online since:

July 2014

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Penatti O A B, Valle E, Torres R S. Comparative Study of Global Color and Texture Descriptors for Web Image Retrieval. Journal of Visual Communication and Image Representation, 2012, 23 (2): 359-380.

DOI: 10.1016/j.jvcir.2011.11.002

Google Scholar

[2] S.P. Xu , X.P. Lie , C.Q. Li , et al.: LBP Value-based Texture Descriptor of Spatial Statistical Character*[J]. Pattern Recognition and Artificial Intelligence, 2013, 26(8): 769-776.

Google Scholar

[3] Y.J. Zhang : Image Processing and Analysis, Tsinghua University Press, Beijing: (1999).

Google Scholar

[4] X. Xu: Study on Visual Features-based Image Retrieval System[D], Zhejiang University, Hangzhou, (1999).

Google Scholar

[5] Ojala T, Pietikinen M, Maenpaa T. Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns. IEEE Trans on Pattern Analysis and Machine Intelligence, 2002, 24(7): 971-987.

DOI: 10.1109/tpami.2002.1017623

Google Scholar

[6] T. Wang, S.M. Hu , J.G. Sun : Color Space Features-based Image Retrieval [J]. Journal of Software, 2002, 13(10): 2031-(2036).

Google Scholar

[7] Y.T. Shen: Study on Visual Perception Characteristics-based Image Retrieval[D]. Xi'an: Northwestern Polytechnical University, 2005: 52-63.

Google Scholar

[8] C.Q. Dang, F.J. Song, S.M. Liu : Image Retrieval Based on the Integration of Multiple Characteristics and Relevant Feedback [J]. Computer Engineering and Application, 2008, 44(3): 186-188.

Google Scholar