Title :
Nonparametric multichannel texture description with simple spatial operators
Author :
Ojala, Timo ; Pietikainen, Matti
Author_Institution :
Dept. of Electr. Eng., Oulu Univ., Finland
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;
Conference_Titel :
Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
Conference_Location :
Brisbane, Qld.
Print_ISBN :
0-8186-8512-3
DOI :
10.1109/ICPR.1998.711872
