Image Processing Algorithms Used in Robotics Applications

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dc.creatorGheorghe Lazea
dc.creatorAlin Muresan
dc.creatorEmil Lupu
dc.date2000-03-31
dc.date.accessioned2022-06-16T14:03:34Z
dc.date.available2022-06-16T14:03:34Z
dc.descriptionThe 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.
dc.formattext/html
dc.formatapplication/pdf
dc.identifier13354205
dc.identifier25857878
dc.identifier10.26552/com.C.2000.1.27-31
dc.identifierhttps://komunikacie.uniza.sk/artkey/csl-200001-0005_image-processing-algorithms-used-in-robotics-applications.php
dc.identifier.urihttp://drepo.uniza.sk/xmlui/handle/hdluniza/628
dc.languageen
dc.publisherCommunications - Scientific Letters of the University of Zilina
dc.relationhttps://komunikacie.uniza.sk/magno/csl/2000/mn1.php
dc.subjectno keywords
dc.titleImage Processing Algorithms Used in Robotics Applications
dc.typejournal article

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