Hough-transform based algorithm for the automatic invariant recognition of rectangular chocolates. Detection of defective pieces.
DOI:
https://doi.org/10.15381/idata.v9i2.6617Keywords:
Artificial intelligence, cybernetic vision, pattern recognition, invariant shape classification, Polar Hough transform.Abstract
The Hough Transform has been used to develop an algorithm for rotation, translation and size-scaling invariant pattern recognition of polygonal objects. In this research the developed system has been successfully applied to the automatic invariant recognition of rectangular chocolates, including identification of defective samples. Since the entire performance of the resulting system is autonomous, the results may be applied to automatic quality control applications in the industry.
Downloads
Downloads
Published
Issue
Section
License
Copyright (c) 2006 Javier Montenegro Joo

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
AUTHORS RETAIN THEIR RIGHTS:
a. Authors retain their trade mark rights and patent, and also on any process or procedure described in the article.
b. Authors retain their right to share, copy, distribute, perform and publicly communicate their article (eg, to place their article in an institutional repository or publish it in a book), with an acknowledgment of its initial publication in the INDUSTRIAL DATA.
c. Authors retain theirs right to make a subsequent publication of their work, to use the article or any part thereof (eg a compilation of his papers, lecture notes, thesis, or a book), always indicating the source of publication (the originator of the work, journal, volume, number and date).