DocumentCode :
3117206
Title :
Content-based image retrieval using grid-based indexing and grey relational analysis
Author :
Huang, Yo-Ping ; Chiang, Te-Wei ; Hsiao, Mann-Jung ; Tsai, Tienwei
Author_Institution :
Dept. of Electr. Eng., Nat. Taipei Univ. of Technol., Taipei
fYear :
2008
fDate :
12-15 Oct. 2008
Firstpage :
2694
Lastpage :
2699
Abstract :
In this paper, an efficient two-stage approach is proposed for content-based image retrieval (CBIR). In establishing the database, the features of an image are extracted from its color histograms and discrete cosine transform (DCT) coefficients. To improve the retrieval performance, the quantization technique is applied to quantize the vector of color histograms such that the feature space is partitioned into a finite number of grids, each of which corresponds to a grid code (GC). At the first stage, a reduced set of candidate images which have the same GC (or adjacent GCs) as that of the query image is obtained. At the second stage, the remaining candidates are examined by using grey relational analysis on the significant DCT coefficients. The experimental results show that the proposed approach leads to a fast retrieval with good accuracy.
Keywords :
content-based retrieval; database management systems; discrete cosine transforms; grey systems; grid computing; image retrieval; indexing; DCT; color histograms; content-based image retrieval; grey relational analysis; grid-based indexing; quantization technique; Content based retrieval; Discrete cosine transforms; Histograms; Image analysis; Image databases; Image retrieval; Indexing; Quantization; Relational databases; Spatial databases; content-based image retrieval; grey relational analysis; grid-based indexing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2008. SMC 2008. IEEE International Conference on
Conference_Location :
Singapore
ISSN :
1062-922X
Print_ISBN :
978-1-4244-2383-5
Electronic_ISBN :
1062-922X
Type :
conf
DOI :
10.1109/ICSMC.2008.4811703
Filename :
4811703
Link To Document :
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