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
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;
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
DOI :
10.1109/WiCom.2008.809