Hough-transform based algorithm for the automatic invariant recognition of rectangular chocolates. Detection of defective pieces.

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 id...

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Bibliographic Details
Main Author: Javier Montenegro Joo
Format: Article
Language:Spanish
Published: Universidad Nacional Mayor de San Marcos 2006-12-01
Series:Industrial Data
Subjects:
Online Access:https://revistas.gnbit.net/index.php/idata/article/view/6617
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spelling doaj-1d36d0495213431486b7b9b180b04c512021-06-08T04:36:11ZspaUniversidad Nacional Mayor de San MarcosIndustrial Data1560-91461810-99932006-12-019210.15381/idata.v9i2.6617Hough-transform based algorithm for the automatic invariant recognition of rectangular chocolates. Detection of defective pieces.Javier Montenegro Joo0Virtual Dynamics 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. https://revistas.gnbit.net/index.php/idata/article/view/6617Artificial intelligencecybernetic visionpattern recognitioninvariant shape classificationPolar Hough transform.
collection DOAJ
language Spanish
format Article
sources DOAJ
author Javier Montenegro Joo
spellingShingle Javier Montenegro Joo
Hough-transform based algorithm for the automatic invariant recognition of rectangular chocolates. Detection of defective pieces.
Industrial Data
Artificial intelligence
cybernetic vision
pattern recognition
invariant shape classification
Polar Hough transform.
author_facet Javier Montenegro Joo
author_sort Javier Montenegro Joo
title Hough-transform based algorithm for the automatic invariant recognition of rectangular chocolates. Detection of defective pieces.
title_short Hough-transform based algorithm for the automatic invariant recognition of rectangular chocolates. Detection of defective pieces.
title_full Hough-transform based algorithm for the automatic invariant recognition of rectangular chocolates. Detection of defective pieces.
title_fullStr Hough-transform based algorithm for the automatic invariant recognition of rectangular chocolates. Detection of defective pieces.
title_full_unstemmed Hough-transform based algorithm for the automatic invariant recognition of rectangular chocolates. Detection of defective pieces.
title_sort hough-transform based algorithm for the automatic invariant recognition of rectangular chocolates. detection of defective pieces.
publisher Universidad Nacional Mayor de San Marcos
series Industrial Data
issn 1560-9146
1810-9993
publishDate 2006-12-01
description 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.
topic Artificial intelligence
cybernetic vision
pattern recognition
invariant shape classification
Polar Hough transform.
url https://revistas.gnbit.net/index.php/idata/article/view/6617
work_keys_str_mv AT javiermontenegrojoo houghtransformbasedalgorithmfortheautomaticinvariantrecognitionofrectangularchocolatesdetectionofdefectivepieces
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