• 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