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