Proceedings of SPIE - the International Society for Optical Engineering
Hough transform theory provides a heuristically appealing approach toward finding lineal features in imagery. Unfortunately direct algorithmic implementation of its theory results in many practical problems. We provide two interlocking theoretical extensions to greatly enhances the Hough transform's ability to handle finite lineal features and allow directed search for parallel lines within the scene while balancing memory and computational complexity. Both extensions involve expansion of the Hough space concept to allow easier access to processed data for both dedicated silicon and general-purpose computer implementations.
Cofer, R. H., Kozaitis, S. P., & Cha, J. (2003). Extended hough methodology in geospatial image exploitation. Paper presented at the Proceedings of SPIE - the International Society for Optical Engineering, , 5097 149-157.