DocumentCode :
1810066
Title :
Image Retrieve Based on Primary Clusters
Author :
Chen, Wenbing ; Yang, Jianwei ; Wei, Wang
Author_Institution :
Coll. of Math. & Phys., Nanjing Univ. of Inf. Sci. & Technol., Nanjing, China
Volume :
2
fYear :
2009
fDate :
18-20 Aug. 2009
Firstpage :
357
Lastpage :
360
Abstract :
In this paper, a new image retrieval method, which uses the two primary features of image cluster to retrieve image, i.e., the average color value and the number of pixels for each cluster, is proposed. In comparison with popular methods, since this method uses both color feature and structure feature, it is good to solve such a sort of image retrieval questions for two images that they are similar but not identical color. Experimental results show that this method not only enhances the flexibility of system retrieval, but also achieves prominent effects for image retrieval.
Keywords :
image colour analysis; image retrieval; color feature; image cluster; image retrieval method; primary clusters; structure feature; Density functional theory; Educational institutions; Filtering; Histograms; Image retrieval; Information retrieval; Information security; Kernel; Mathematics; Pixel; filtering; image retrieve; primary cluster; similarity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Assurance and Security, 2009. IAS '09. Fifth International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-0-7695-3744-3
Type :
conf
DOI :
10.1109/IAS.2009.83
Filename :
5283510
Link To Document :
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