DocumentCode :
318235
Title :
A new spatial interaction model for color texture
Author :
Suen, Pei-hsiu ; Healey, Glenn
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., Irvine, CA, USA
Volume :
2
fYear :
1997
fDate :
26-29 Oct 1997
Firstpage :
867
Abstract :
We present a random environment model for color textures. This model generalizes traditional random field models by allowing the spatial interaction parameters of the field to be random variables. We use this new model to define a color feature vector which captures within and between color band information. We show experimentally that this model improves on the performance of multiband Markov fields for texture classification using small samples
Keywords :
feature extraction; image classification; image colour analysis; image texture; parameter estimation; random processes; color feature vector; color images; color texture; image texture; random environment model; random field models; random variables; spatial interaction model; texture classification; Color; Least squares approximation; Parameter estimation; Pixel; Random processes; Random variables; Surface texture; Technological innovation; World Wide Web;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 1997. Proceedings., International Conference on
Conference_Location :
Santa Barbara, CA
Print_ISBN :
0-8186-8183-7
Type :
conf
DOI :
10.1109/ICIP.1997.638634
Filename :
638634
Link To Document :
بازگشت