Extended Hough methodology in geo-spatial image exploitation

Rufus H. Cofer; Samuel Peter Kozaitis; Jihun Cha

doi:10.1117/12.487010

14 August 2003 Extended Hough methodology in geo-spatial image exploitation

Rufus H. Cofer, Samuel Peter Kozaitis, Jihun Cha

Proceedings Volume 5097, Geo-Spatial and Temporal Image and Data Exploitation III; (2003) https://doi.org/10.1117/12.487010
Event: AeroSense 2003, 2003, Orlando, Florida, United States

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.

Citation Download Citation

Rufus H. Cofer, Samuel Peter Kozaitis, and Jihun Cha "Extended Hough methodology in geo-spatial image exploitation", Proc. SPIE 5097, Geo-Spatial and Temporal Image and Data Exploitation III, (14 August 2003); https://doi.org/10.1117/12.487010

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