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Proceedings Paper

Extended Hough methodology in geo-spatial image exploitation
Author(s): Rufus H. Cofer; Samuel Peter Kozaitis; Jihun Cha
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Paper Abstract

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.

Paper Details

Date Published: 14 August 2003
PDF: 9 pages
Proc. SPIE 5097, Geo-Spatial and Temporal Image and Data Exploitation III, (14 August 2003); doi: 10.1117/12.487010
Show Author Affiliations
Rufus H. Cofer, Florida Institute of Technology (United States)
Samuel Peter Kozaitis, Florida Institute of Technology (United States)
Jihun Cha, Florida Institute of Technology (United States)


Published in SPIE Proceedings Vol. 5097:
Geo-Spatial and Temporal Image and Data Exploitation III
Nickolas L. Faust; William E. Roper, Editor(s)

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