Title : 
Compressing the parameter space of the generalised Hough transform
         
        
            Author : 
Thomas, Andrew D H
         
        
            Author_Institution : 
Dept. of Electr. Eng., Wales Univ., Swansea, UK
         
        
        
        
            Abstract : 
The storage requirement, and hence the computational load, of the generalised Hough transform increases considerably when the orientation of the sought-after shape is unknown. A method is described which allows the location of arbitrary nonanalytic shapes at random orientations using only one plane of parameter space
         
        
            Keywords : 
Hough transforms; computational complexity; image recognition; arbitrary nonanalytic shapes; computational load; generalised Hough transform; parameter space; random orientations; shape location; storage requirement;
         
        
        
        
            Conference_Titel : 
Hough Transforms, IEE Colloquium on
         
        
            Conference_Location : 
London