Automatic image-based detection and inspection of paper fibres for grasping

An automatic computer vision algorithm that detects individual paper fibres from an image, assesses the possibility of grasping the detected fibres with microgrippers and detects the suitable grasping points is presented. The goal of the algorithm is to enable automatic fibre manipulation for mechan...

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Veröffentlicht in:	IET computer vision Jg. 9; H. 4; S. 588 - 594
Hauptverfasser:	Hirvonen, Juha, Kallio, Pasi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	The Institution of Engineering and Technology 01.08.2015 Wiley
Schlagworte:	Algorithms automatic computer vision algorithm automatic fibre manipulation automatic image-based detection automatic image-based inspection Automation computational geometry Computer vision Fibers Fibres geometrical constraints Grasping grasping point detection grippers Human image classification Image detection inspection mechanical characterisation microgrippers micromanipulators object detection paper fibres robot vision automatic image-based detection grippers mechanical characterisation image classification fibres paper fibres computational geometry robot vision object detection microgrippers automatic computer vision algorithm automatic fibre manipulation paper automatic image-based inspection grasping point detection geometrical constraints micromanipulators inspection
ISSN:	1751-9632, 1751-9640, 1751-9640
Online-Zugang:	Volltext
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