DocumentCode
2763201
Title
Nonparametric multichannel texture description with simple spatial operators
Author
Ojala, Timo ; Pietikainen, Matti
Author_Institution
Dept. of Electr. Eng., Oulu Univ., Finland
Volume
2
fYear
1998
fDate
16-20 Aug 1998
Firstpage
1052
Abstract
A multichannel approach to texture description is proposed by approximating joint occurrences of multiple features with marginal distributions, as 1D histograms, and combining similarity scores for 1D histograms into an aggregate similarity score. A stepwise feature selection algorithm is used to choose the best feature combination in a particular dimension. In classification experiments with Brodatz textures and MeasTex test suites the proposed method performs favorably compared to GLCM, Gabor and GMRF features
Keywords
image classification; image texture; nonparametric statistics; probability; 1D histograms; Brodatz textures; MeasTex test suites; marginal distributions; nonparametric multichannel texture description; similarity scores; simple spatial operators; stepwise feature selection algorithm; Aggregates; Distance measurement; Error analysis; Euclidean distance; Histograms; Image texture; Machine vision; Multidimensional systems; Samarium; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
Conference_Location
Brisbane, Qld.
ISSN
1051-4651
Print_ISBN
0-8186-8512-3
Type
conf
DOI
10.1109/ICPR.1998.711872
Filename
711872
Link To Document