Title : 
Robust segmentation of edge data
         
        
        
            Author_Institution : 
Surrey Univ., Guildford, UK
         
        
        
        
        
        
            Abstract : 
The author describes a new, robust, parallel algorithm for the segmentation of edge data. The segmentation is in the form of straight-lines and circular arcs. No user-supplied thresholds are necessary, and additionally the further grouping of the segments is simplified. The algorithm has been implemented within the FEX software package for use on sequential machines. Using a number of complex edge maps, he compares the results of the application of the algorithm with that developed by West and Rosin (1991) based on a technique suggested by Lowe (1987)
         
        
            Keywords : 
pattern recognition; picture processing; FEX software package; circular arcs; complex edge maps; edge data; parallel algorithm; segmentation; sequential machines; straight-lines;
         
        
        
        
            Conference_Titel : 
Image Processing and its Applications, 1992., International Conference on
         
        
            Conference_Location : 
Maastricht
         
        
            Print_ISBN : 
0-85296-543-5