DocumentCode
3439903
Title
Image Retrieval Based on Spatial Feature of Texture Primitive
Author
Zhao Shan ; Zhai, Hai-Xia
Author_Institution
Sch. of Comput. Sci. & Technol., Henan Polytech. Univ., Jiaozuo
fYear
2008
fDate
12-14 Oct. 2008
Firstpage
1
Lastpage
3
Abstract
An image retrieval based on texture primitive is proposed in this paper. The texture primitive is firstly constructed according to the principle of the block truncation code (BTC). Meantime, based on the analysis of the statistical distribution of the texture primitive, the spatial distribution map of each feature is presented to describe the image texture information. Experimental results show that the proposed method has sound and robust retrieval performance by integrating spatial and texture information into image descriptors.
Keywords
image retrieval; image texture; statistical analysis; block truncation code; image retrieval; spatial information; statistical distribution; texture information; texture primitive spatial feature; Color; Computer science; Data mining; Feature extraction; Image retrieval; Image texture analysis; Information retrieval; Paper technology; Pixel; Statistical distributions;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
Conference_Location
Dalian
Print_ISBN
978-1-4244-2107-7
Electronic_ISBN
978-1-4244-2108-4
Type
conf
DOI
10.1109/WiCom.2008.809
Filename
4678717
Link To Document