Machine vision toolbox for MATLAB, release 3 [Software]

Corke, Peter (2011) Machine vision toolbox for MATLAB, release 3 [Software]. Machine vision toolbox for MATLAB. (Unpublished)

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The Toolbox, combined with MATLAB ® and a modern workstation computer, is a useful and convenient environment for investigation of machine vision algorithms. For modest image sizes the processing rate can be sufficiently ``real-time'' to allow for closed-loop control. Focus of attention methods such as dynamic windowing (not provided) can be used to increase the processing rate. With input from a firewire or web camera (support provided) and output to a robot (not provided) it would be possible to implement a visual servo system entirely in MATLAB. Provides many functions that are useful in machine vision and vision-based control. Useful for photometry, photogrammetry, colorimetry. It includes over 100 functions spanning operations such as 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.

Impact and interest:

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ID Code: 50053
Item Type: Other
Refereed: No
Additional Information: Release 3 dated 17 Sept 2011.
Toolbox is tested with MATLAB R2011a
Additional URLs:
Keywords: Computer vision, MATLAB, Mobile robots
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Computer Vision (080104)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > COMPUTER SOFTWARE (080300) > Open Software (080306)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Control Systems Robotics and Automation (090602)
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Peter I. Corke
Copyright Statement: Open source software. Freely available for download.
Deposited On: 02 May 2012 01:21
Last Modified: 11 May 2012 03:43

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