Gabor wavelets and gvf functions for feature extraction in efficient content based colour and texture images retrieval
Inhaltsverzeichnis
Referenz
Fakheri, M.; Amirani, M.C.; Sedghi, T.: Gabor wavelets and gvf functions for feature extraction in efficient content based colour and texture images retrieval. Machine Vision and Image Processing (MVIP), 2011 7th Iranian , pp.1-5, 16-17 Nov. 2011
DOI
http://dx.doi.org/10.1109/IranianMVIP.2011.6121598
Abstract
Texture and shape information have been the primitive image features in content based image retrieval systems. This paper presents a novel framework for combining the texture and shape information, and achieves higher retrieval efficiency. The image is partitioned into non-overlapping tiles of different size. The features drawn from transferred image with Gabor wavelets using first and second moments between the image tiles, serve as local descriptors of texture. This local information is captured for two resolutions and two grid layouts that provide different details of the same image. Shape information is captured in terms of edge images computed using Gradient Vector Flow fields. Invariant moments are then used to record the shape features. The combination of the texture features between image and conjunction with the shape features provide a robust feature set for image retrieval. The experimental results show the efficacy of the method. For matching the images an integrated matching scheme, based on most similar highest priority (MSHP) principle is provided. The experimental results are compared with previous works and are found to be encouraging.
Extended Abstract
Bibtex
@INPROCEEDINGS{6121598,
author={M. Fakheri and M. C. Amirani and T. Sedghi},
booktitle={2011 7th Iranian Conference on Machine Vision and Image Processing},
title={Gabor Wavelets and GVF Functions for Feature Extraction in Efficient Content Based Colour and Texture Images Retrieval},
year={2011},
pages={1-5},
keywords={Gabor filters;content-based retrieval;feature extraction;image colour analysis;image matching;image retrieval;image texture;wavelet transforms;GVF Functions;Gabor wavelets;Invariant moments;content based colour image retrieval;content based texture image retrieval;edge images;feature extraction;gradient vector flow fields;image matching;matching scheme;most similar highest priority;nonoverlapping tiles;shape features;shape information;texture features;texture information;Feature extraction;Image edge detection;Image retrieval;Image segmentation;Shape;Tiles;Vectors},
doi={10.1109/IranianMVIP.2011.6121598},
url={http://dx.doi.org/10.1109/IranianMVIP.2011.6121598 http://de.evo-art.org/index.php?title=Gabor_wavelets_and_gvf_functions_for_feature_extraction_in_efficient_content_based_colour_and_texture_images_retrieval },
ISSN={2166-6776},
month={Nov},
}
Used References
Amirani, M., Sadeghi Gol, Z., Beheshti, A., "Efficient Feature Extract ion for Shape-based Image Retrieval," Journal of Applied Science, pp.2378-2386, 2008.
Sedghi, T. Composition of texture and shape features for content based image retrieval, Msc. Dissertation, Iran Urmia University, 2010.
Y. Chen and J. Z. Wang, "A Region-Based Fuzzy Feature Matching Approach to Content-Based Image Retrieval," in IEEE Trans. on PAMI, vol. 24, No.9, pp. 1252-1267, 2004 http://dx.doi.org/10.1109/TPAMI.2002.1033216
J. Li, J. Z. Wang, and G. Wiederhold, "IRM: Integrated region matching for image retrieval," In Proc. of the 8th ACM Int. Conf. on Multimedia, pp. 147-156, Oct. 2000. (Pubitemid 32485846)
Z. Rui-zhe, Y. Jia-zheng, H. Jing-hua, W. Yu-jian, and B. Hong "A novel generalized SVM algorithm with application to region-based image retrieval," In Proc. of International Forum on Information Technology and Applications, pp. 280 - 283, 2009. http://dx.doi.org/10.1109/IFITA.2009.489
P. S. Hirremath and J. Pujari, "Content based image retrieval based on texture and shape features using image and its complement ", In Proc. of IJCSS, vol. 2, 2008.
Y. Rubner, L. J. Guibas, and C. Tomasi, "The earth mover's distance, multi-dimensional scaling, and color-based image retrieval", In Proc. of DARPA Image Understanding Workshop, pp. 661-668, 1997.
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