Algorithms for automated inspection

  • Authors:

  • C. M. Klein;J. A. Ventura

  • Affiliations:

  • Department of Industrial Engineering 121 Engineering Building West, University of Missouri-Columbia Columbia, Missouri 65211, U.S.A.;Department of Industrial and Management Systems Engineering 207 Hammond Building, The Pennsylvania State University University Park, PA 16802, U.S.A.

  • Venue:
  • Mathematical and Computer Modelling: An International Journal
  • Year:
  • 1994

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Abstract

The demand to minimize the number of defects along with the increasing availability of computerized vision systems has made the on-line inspection of all production parts a feasible option in modern manufacturing systems. Vision systems enable noncontact, and thus, nondestructive measurements. An image of the production part is electronically obtained and stored in digital form in a computer. In most cases, the image is then processed to identify the local edges of the object. At a higher image processing level, information on lkocal edges is used to obtain the boundaries of the object. Measurements on the computationally obtained boundary can then be performed mathematically, allowing tests to verify the shape and dimensions of the production part. It is the purpose of this paper to investigate and present methods for the determination of shapes and the use of this information for on-line quality inspection.