Image Processing Algorithms Used in Robotics Applications

The paper presents the results obtained in implementing image-processing algorithms (edge detection, contour closing, skeletonizing). Several classical as well as two original algorithms are presented, together with sample images from the implementation. Image processing for robotic applications req...

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Bibliographic Details
Main Authors: Gheorghe Lazea, Alin Muresan, Emil Lupu
Format: Article
Language:English
Published: University of Žilina 2000-03-01
Series:Communications
Subjects:
Online Access:https://komunikacie.uniza.sk/artkey/csl-200001-0005_image-processing-algorithms-used-in-robotics-applications.php
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author Gheorghe Lazea
Alin Muresan
Emil Lupu
author_facet Gheorghe Lazea
Alin Muresan
Emil Lupu
author_sort Gheorghe Lazea
collection DOAJ
description The paper presents the results obtained in implementing image-processing algorithms (edge detection, contour closing, skeletonizing). Several classical as well as two original algorithms are presented, together with sample images from the implementation. Image processing for robotic applications requests fast computation times. We investigate the possibility to improve the processing time of a classical skeletonizing algorithm (Nacache and Shingal method) using a previously trained neural network. Two approaches are considered: a two layers neural network and a cluster of 12 single layer neural network. The processing times obtained are presented and commented.
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spelling doaj.art-c6009824bbe441cf8f54e7342881fb552023-04-14T06:29:05ZengUniversity of ŽilinaCommunications1335-42052585-78782000-03-0121273110.26552/com.C.2000.1.27-31csl-200001-0005Image Processing Algorithms Used in Robotics ApplicationsGheorghe Lazea0Alin Muresan1Emil Lupu2Automation Department, Faculty of Automation and Computer Science, TU of Cluj-Napoca, RomaniaAutomation Department, Faculty of Automation and Computer Science, TU of Cluj-Napoca, RomaniaAutomation Department, Faculty of Automation and Computer Science, TU of Cluj-Napoca, RomaniaThe paper presents the results obtained in implementing image-processing algorithms (edge detection, contour closing, skeletonizing). Several classical as well as two original algorithms are presented, together with sample images from the implementation. Image processing for robotic applications requests fast computation times. We investigate the possibility to improve the processing time of a classical skeletonizing algorithm (Nacache and Shingal method) using a previously trained neural network. Two approaches are considered: a two layers neural network and a cluster of 12 single layer neural network. The processing times obtained are presented and commented.https://komunikacie.uniza.sk/artkey/csl-200001-0005_image-processing-algorithms-used-in-robotics-applications.phpno keywords
spellingShingle Gheorghe Lazea
Alin Muresan
Emil Lupu
Image Processing Algorithms Used in Robotics Applications
Communications
no keywords
title Image Processing Algorithms Used in Robotics Applications
title_full Image Processing Algorithms Used in Robotics Applications
title_fullStr Image Processing Algorithms Used in Robotics Applications
title_full_unstemmed Image Processing Algorithms Used in Robotics Applications
title_short Image Processing Algorithms Used in Robotics Applications
title_sort image processing algorithms used in robotics applications
topic no keywords
url https://komunikacie.uniza.sk/artkey/csl-200001-0005_image-processing-algorithms-used-in-robotics-applications.php
work_keys_str_mv AT gheorghelazea imageprocessingalgorithmsusedinroboticsapplications
AT alinmuresan imageprocessingalgorithmsusedinroboticsapplications
AT emillupu imageprocessingalgorithmsusedinroboticsapplications