Title : 
Methods for hierarchical analysis of concavities
         
        
            Author : 
Borgefors, Gunilla ; Di Baja, Gabriella Sanniti
         
        
            Author_Institution : 
Swedish Defence Res. Establ., Linkoping, Sweden
         
        
        
            fDate : 
30 Aug-3 Sep 1992
         
        
        
        
            Abstract : 
Presents an iterative parallel procedure for computing concavity trees of a digital shape in a multi-resolution structure. The pattern is, at all resolution levels, covered by an almost convex polygon, closely fitting the pattern itself. When the polygons have been created, a hierarchical structure is built, which points out the relations among the concavities at different resolution levels. Also some properties characterizing the added regions are computed. On the highest resolution level, a meta-concavity tree is built up. This tree can be used to analyse and hierarchically rank the shape concavities
         
        
            Keywords : 
image processing; iterative methods; parallel algorithms; almost convex polygon; concavities; digital shape; hierarchical analysis; image processing; iterative parallel procedure; meta-concavity tree; multi-resolution structure; Area measurement; Color; Concurrent computing; Filling; Information analysis; Parallel architectures; Parallel machines; Pattern analysis; Performance analysis; Shape measurement;
         
        
        
        
            Conference_Titel : 
Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings., 11th IAPR International Conference on
         
        
            Conference_Location : 
The Hague
         
        
            Print_ISBN : 
0-8186-2920-7
         
        
        
            DOI : 
10.1109/ICPR.1992.201954