Algorithms for objects’ shape recognition and measurement before gripping

  • Ionel Starețu “Transilvania“ University of Brasov
  • Alexandru Itu “Transilvania“ University of Brasov
  • Cătălin Moldovan “Transilvania“ University of Brasov
Keywords: image processing, Haar identifier, shape recognition, size measurement

Abstract

The paper proposes an algorithmic methodology to solve a necessary first step, namely visualization, recognition and measurement of objects, for gripping, in particular by means of anthropomorphic grippers for robots. For object shape recognition, Haar classifiers, and an Open CV library use are proposed. Based on measurement of the distance between the initial point and a second intermediate point, you can do calculations, aimed at object size, and distance remaining to the target. Thus, the algorithmic method for visualization, recognition, and measurement of objects for anthropomorphic gripping, is based on a number of existing software modules. They have been adapted for the intended purpose, and specially designed software modules were added.

Published
2011-06-05
How to Cite
1.
Starețu I, Itu A, Moldovan C. Algorithms for objects’ shape recognition and measurement before gripping. Analele Universităţii "Dunărea de Jos" din Galaţi. Fascicula XIV, Inginerie mecanică = Annals of “Dunarea de Jos“ University of Galati. Fascicle XIV, Mechanical Engineering [Internet]. 5Jun.2011 [cited 28Nov.2024];18(1):11-6. Available from: https://gup.ugal.ro/ugaljournals/index.php/im/article/view/3755
Issue
Vol 18 No 1 (2011)
Section
Articles