DocumentCode
795876
Title
The Machine Vision Toolbox: a MATLAB toolbox for vision and vision-based control
Author
Corke, Peter I.
Author_Institution
Autonomous Syst. Lab., Information & Commun. Technol. Centre, Brisbane, Qld., Australia
Volume
12
Issue
4
fYear
2005
Firstpage
16
Lastpage
25
Abstract
The article described an open-source toolbox for machine vision called Machine Vision Toolbox (MVT). MVT includes more than 60 functions including image file reading and writing, acquisition, display, filtering, blob, point and line feature extraction, mathematical morphology, homographies, visual Jacobians, camera calibration, and color space conversion. MVT can be used for research into machine vision but is also versatile enough to be usable for real-time work and even control. MVT, combined with MATLAB and a model workstation computer, is a useful and convenient environment for the investigation of machine vision algorithms. The article illustrated the use of a subset of toolbox functions for some typical problems and described MVT operations including the simulation of a complete image-based visual servo system.
Keywords
computer vision; control engineering computing; feature extraction; image colour analysis; image motion analysis; image segmentation; mathematical morphology; mathematics computing; public domain software; robots; MATLAB toolbox; Machine Vision Toolbox; color space conversion; image feature extraction; image filtering; image segmentation; mathematical morphology; open-source toolbox; vision control; vision-based control; visual Jacobians; visual servo; Cameras; Computer displays; Feature extraction; Filtering; Jacobian matrices; MATLAB; Machine vision; Morphology; Open source software; Writing;
fLanguage
English
Journal_Title
Robotics & Automation Magazine, IEEE
Publisher
ieee
ISSN
1070-9932
Type
jour
DOI
10.1109/MRA.2005.1577021
Filename
1577021
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