Title :
Orientation difference statistics for texture description
Author :
Costa, Jean Pierre Da ; Germain, Christian ; Baylou, Pierre
Author_Institution :
Equipe Signal et Image, LAP-ENSEIRB, Talence, France
Abstract :
This paper presents a new approach for the description of directional textures based on the study of their orientation and coherence fields. We apply the feature-based interaction maps to the characterization of an orientation field. The features are extracted from orientation spatial difference histograms. The representation of a feature, as a function of the spacing vector used to compute the spatial statistics, yields a 2-D interaction map which can be used to assess the structural layout of texture. Orientation-based interaction maps are exercised on original and distorted Brodatz textures. The results show the relevance and the robustness of the approach for the description of directional textures.
Keywords :
feature extraction; image texture; statistical analysis; 2-D interaction map; Brodatz textures; coherence fields; directional textures; feature representation; feature-based interaction maps; orientation difference statistics; orientation field; orientation spatial difference histograms; orientation-based interaction maps; second order statistics; spacing vector; spatial statistics; structural texture layout; texture description; Anisotropic magnetoresistance; Feature extraction; Filters; Histograms; Robustness; Shape; Statistical analysis; Statistics; Yield estimation;
Conference_Titel :
Pattern Recognition, 2002. Proceedings. 16th International Conference on
Print_ISBN :
0-7695-1695-X
DOI :
10.1109/ICPR.2002.1044833