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