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Global Optimization Problems in Computer Vision

  • P. Sussner
  • P. M. Pardalos
  • G. X. Ritter
Part of the Nonconvex Optimization and Its Applications book series (NOIA, volume 7)

Abstract

In the field of computer vision, computer scientists extract knowledge from an image by manipulating it through image transforms. In the mathematical language of image algebra an image transformation often corresponds to an image-template product. When performing this operation on a computer, savings in time and memory as well as a better fit to the specific computer architecture can often be achieved by using the technique of template decomposition. In this paper we use global optimization techniques to solve a general problem of morphological template decomposition.

Keywords

Mixed Integer Programming Interior Point Method Global Optimization Problem Decomposition Problem Generalize Convolution 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Kluwer Academic Publishers 1996

Authors and Affiliations

  • P. Sussner
    • 1
  • P. M. Pardalos
    • 1
  • G. X. Ritter
    • 1
  1. 1.University of FloridaGainesvilleUSA

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