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