DocumentCode
3272066
Title
Research of image retrieval based on color and shape features
Author
Zhang Wei-guo ; Li Qiao-ling
Author_Institution
Coll. of Comput. Sci. & Technol., Xi´an Univ. of Sci. & Technol., Xi´an, China
fYear
2011
fDate
15-17 April 2011
Firstpage
4378
Lastpage
4381
Abstract
A new image retrieval algorithm based on color of image blocks and moment invariant of image was presented. First of all the image is converted to HSV color space, then the image is separated into sub-blocks, and it gets the color histogram in each block as the image color feature. Meanwhile, it uses seven HU moment invariant and eccentricity to describe shape feature. Finally, the similarity is calculated based on the color histogram of each block and moment invariant. Experiment results show this method is very effective.
Keywords
feature extraction; image colour analysis; image retrieval; HSV color space; color histogram; hue saturation value color space; image block; image color feature; image retrieval algorithm; shape features; Histograms; Image color analysis; Image retrieval; Image segmentation; Multimedia communication; Shape; HSV color space; dominant color of partition; image retrieval; moment invariant;
fLanguage
English
Publisher
ieee
Conference_Titel
Electric Information and Control Engineering (ICEICE), 2011 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-8036-4
Type
conf
DOI
10.1109/ICEICE.2011.5777195
Filename
5777195
Link To Document