Invariant Pattern Recognition Executed Exclusively in the Hough Space

Authors

  • Javier Montenegro Joo Director of Dynamic/Software: Science & Engineering

Keywords:

algorithm, cybernetic vision, computational vision, invariant pattern recognition, Polar Hough Transform, accumulator space

Abstract

This paper reports the creation of a computational algorithm based on the Hough Transform and devised to carry out rotation, translation and size-scaling invariant pattern recognition of objects made-up of straight line segments. Since this algorithm carries out all the operations on the Hough accumulator space a considerable reduction in computer time and complexity is achieved.

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Published

2004-06-14

Issue

No. 13 (2004)

Section

Original papers

License

Copyright (c) 2004 Javier Montenegro Joo

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Creative Commons License
Electrónica - UNMSM by Facultad de Ingeniería Electrónica y Eléctrica de la Universidad Nacional Mayor de San Marcos is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Based on a work at http://revistasinvestigacion.unmsm.edu.pe/index.php/electron/index.

How to Cite

Invariant Pattern Recognition Executed Exclusively in the Hough Space. (2004). Electrónica - UNMSM, 13, 21-24. https://revistasinvestigacion.unmsm.edu.pe/index.php/electron/article/view/4004