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...

Full description

Saved in:

Bibliographic Details
Published in:	IET computer vision Vol. 9; no. 4; pp. 588 - 594
Main Authors:	Hirvonen, Juha, Kallio, Pasi
Format:	Journal Article
Language:	English
Published:	The Institution of Engineering and Technology 01.08.2015 Wiley
Subjects:	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 Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!