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