Paper Title:
A Fast and Precise Measuring Method for Large Workpiece Based on Machine Vision
  Abstract

Image measurement based on machine vision is a promising method for the precise measurements of machine parts. As for a large sized workpiece that exceeds the FOV (field of view) of the camera, image mosaic must be performed to implement measurement. While traditional template matching algorithms will lead to long runtime consumption, a combination of algorithms with precise mechanical positioning function using motion control was proposed and applied in the machine vision system. The manufacturing and installing errors have been taken into account to improve the positioning accuracy. This method minimized the search space and thereby reduced the runtime substantially. In addition, a stop criterion of the computation for the algorithms was applied to save a considerable amount of time in the process. Experimental results show that the precision of the image mosaic meets the requirements while speeding up the process significantly.

  Info
Periodical
Advanced Materials Research (Volumes 139-141)
Edited by
Liangchi Zhang, Chunliang Zhang and Tielin Shi
Pages
2076-2081
DOI
10.4028/www.scientific.net/AMR.139-141.2076
Citation
H. Zhou, J. G. Yang, "A Fast and Precise Measuring Method for Large Workpiece Based on Machine Vision", Advanced Materials Research, Vols. 139-141, pp. 2076-2081, 2010
Online since
October 2010
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Price
$32.00
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