DocumentCode :
3071223
Title :
Image Retrieval Algorithm Based on Texture and Color Features
Author :
Cai-Xiang, Yu ; Shu-Bo, Qiu
Author_Institution :
Autom. Lab., Shandong Inst. of Light Industory, Jinan, China
Volume :
1
fYear :
2009
fDate :
10-11 July 2009
Firstpage :
125
Lastpage :
128
Abstract :
A novel image retrieval algorithm based on texture and color feathers was proposed. Firstly, the image was divided into non-overlapped blocks with equal size, and every pixel was given a new value (0 or 1) according to different color, then do the second division to the whole image and coding new blocks, counting the probability of every code and primary color. Finally, texture and color feathers method was applied in image retrieval. Experimental results show that the proposed algorithm has reasonable and robust performance and is more effective.
Keywords :
image coding; image colour analysis; image retrieval; image texture; color feathers; image coding; image color features; image retrieval algorithm; image texture; Automation; Color; Content based retrieval; Feathers; Feature extraction; Histograms; Image coding; Image retrieval; Information retrieval; Robustness; comparability retri eval; feature extraction; gray level co-occurrence matrix ( GLCM); primary color; sub-block coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Engineering, 2009. ICIE '09. WASE International Conference on
Conference_Location :
Taiyuan, Shanxi
Print_ISBN :
978-0-7695-3679-8
Type :
conf
DOI :
10.1109/ICIE.2009.154
Filename :
5211133
Link To Document :
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