DocumentCode
2905343
Title
An Image Retrieval Algorithm Based on Color Segment and Shape Moment Invariants
Author
Shen, Guoqiang ; Jiang, Lanchi ; Zhang, Guoxuan
Author_Institution
Inst. of Mech. Manuf. & Autom., Hangzhou Dianzi Univ., Hangzhou, China
Volume
1
fYear
2009
fDate
12-14 Dec. 2009
Firstpage
517
Lastpage
521
Abstract
Aiming at the image retrieval technology based on color feature and shape feature, a new image retrieval algorithm based on color segment histogram and Hu moment invariants with edge information was presented. The idea of color segment was to divide image space into fixed blocks, and then to set each block as different weights according to the color distribution characteristic. Moreover, image of shape feature was obtained according to the moment invariants and the edge image. Finally, user assigns the weights to the features respectively, and calculates the similarity with combined features of color and shape. Compared with the traditional single method, the results indicate that the proposed algorithm in this paper has better retrieval recall and precision.
Keywords
image colour analysis; image retrieval; image segmentation; Hu moment invariants; color distribution characteristic; color feature; color segment histogram; color segment invariants; edge information; image retrieval algorithm; shape feature; shape moment invariants; Computational intelligence; Data mining; Feature extraction; Histograms; Image retrieval; Image segmentation; Information retrieval; Manufacturing automation; Shape; Space technology; color; image retrieval; moment invariant; shape; similarity;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Design, 2009. ISCID '09. Second International Symposium on
Conference_Location
Changsha
Print_ISBN
978-0-7695-3865-5
Type
conf
DOI
10.1109/ISCID.2009.136
Filename
5368742
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