DocumentCode
2869369
Title
Texture classification based on feature symbol random field
Author
Ma Xiaochuan ; Fu, Xingweng ; Hou, Chaohuan
Author_Institution
Lab. of Integrated Digital Syst., Acad. Sinica, Beijing, China
Volume
2
fYear
1998
fDate
1998
Firstpage
901
Abstract
This paper suggests a set of texture features based on a 2-D symbol description and the calculation of co-occurrence matrices. A hierarchical algorithm based on these features is also proposed. This algorithm gives out the correct classification rate as 96.5% while the algorithm based on the gray level co-occurrence matrix features as 67.5% and that based on the bank energies as 75%
Keywords
feature extraction; image classification; image texture; matrix algebra; 2-D symbol description; co-occurrence matrices; feature symbol random field; hierarchical algorithm; texture classification; texture features; Channel bank filters; Filter bank; Finite impulse response filter; Gabor filters; Image databases; Pixel; Production; Spatial databases; Statistics; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Proceedings, 1998. ICSP '98. 1998 Fourth International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-4325-5
Type
conf
DOI
10.1109/ICOSP.1998.770757
Filename
770757
Link To Document