DocumentCode
2677313
Title
Garment image retrieval based on multi-features
Author
A-Lin, Hou ; Liu-Qing, Zhao ; Dong-Cheng, Shi
Author_Institution
Coll. of Comput. Sci. & Eng., Changchun Univ. of Technol., Changchun, China
Volume
6
fYear
2010
fDate
24-26 Aug. 2010
Firstpage
194
Lastpage
197
Abstract
In order to meet the requirements of users, a content-based image retrieval algorithm for electronic commerce has been investigated combining color features with shape features. The algorithm of image retrieval using both the invariant moment and the Fourier descriptor is proposed to retrieve the shape features of image. The secondary retrieval has been done in succession by use of modified color histogram. To avoid the influence of background, a method of image background elimination is proposed prior to the image retrieval using multi-features. Experimental results show that the algorithm is accuracy. The methods of garment image retrieval based on multi-features are promising to be useful for applications of online shopping.
Keywords
Internet; clothing; content-based retrieval; electronic commerce; feature extraction; image colour analysis; image retrieval; Fourier descriptor; color features; color histogram; electronic commerce; garment content-based image retrieval; image background elimination; invariant moment; online shopping; shape features; Computational modeling; Magnetic resonance imaging; Magnetic separation; Rats; Shape; Shape measurement; Ultra wideband technology; background elimination; color histogram; image retrieval; invariant moment;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on
Conference_Location
Changchun
Print_ISBN
978-1-4244-7957-3
Type
conf
DOI
10.1109/CMCE.2010.5609882
Filename
5609882
Link To Document