DocumentCode
2348671
Title
Texture image retrieval based on gray-primitive co-occurrence matrix
Author
Wang, Wei ; Suzuki, Motoyuki ; Ren, Fuji
Author_Institution
Dept. of Info. Sci., Univ. of Tokushima, Tokushima, Japan
fYear
2010
fDate
21-23 Aug. 2010
Firstpage
1
Lastpage
4
Abstract
The research of texture similarity is very important component of content-based image retrieval system. Firstly the rotation invariance of gray-primitive co-occurrence matrix was proved in this paper, then a new texture image retrieval technique based on gray-primitive co-occurrence matrix was presented. The result of experiment indicates that the algorithm proposed has low computational complexity and certain noise resisting ability.
Keywords
computational complexity; content-based retrieval; image retrieval; image texture; matrix algebra; computational complexity; content-based image retrieval system; gray-primitive co-occurrence matrix; noise resisting ability; texture image retrieval technique; texture similarity; Euclidean distance; Feature extraction; Gray-scale; Image retrieval; Intelligent systems; Noise; Pixel; Image retrieval; gray-primitive co-occurrence matrix; texture;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Language Processing and Knowledge Engineering (NLP-KE), 2010 International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-6896-6
Type
conf
DOI
10.1109/NLPKE.2010.5587830
Filename
5587830
Link To Document