HOUGH-transform based automatic invariant recognition of metallic corner-fasteners.

Authors

  • Javier Montenegro Joo Virtual Dynamics

DOI:

https://doi.org/10.15381/idata.v10i1.6354

Keywords:

Artificial intelligence, computational vision, vybernetic vision, invariant pattern recognition, invariant shape classification, Polar Hough transform, automatic quality control.

Abstract

The Polar Hough Transform has been used to create a system for rotation, translation and sizescaling automatic invariant pattern recognition of polygonal objects, and it has been successfully applied to the invariant recognition of L-shaped metallic corner-fasteners. Since the performance of the developed system is autonomous it may be applied to automatic quality control and automatic classification in the industry.

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Author Biography

  • Javier Montenegro Joo, Virtual Dynamics

    Director Virtual Dynamics/ Virtual Labs. Sciencie & Engineering, EE.UU.

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Published

2007-07-16

Issue

Section

Sistemas e Informática

How to Cite

HOUGH-transform based automatic invariant recognition of metallic corner-fasteners. (2007). Industrial Data, 10(1), 088-092. https://doi.org/10.15381/idata.v10i1.6354