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New Geometric Transform Based on Stochastic Geometry in the Context of Pattern Recognition

  • Nikolay Fedotov
  • Lyudmila Shulga
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2749)

Abstract

Application of stochastic geometry methods to pattern recognition is analyzed. The paper is based on Trace-transforms of original images introduced by [1] into images on the Möbius band. The ability of a Trace-transform to solve such structuralistic problems as segmentation, analysis of objects’ relative position, and their number evaluation, is established. Feasibility of image nonlinear filtering through Trace-transforms is considered. Based on the new geometric transform, a new approach towards the construction of features, independent of images’ motions or their linear transforms, is put forward. A prominent characteristic of the group of features under consideration is that we can represent each of them as a consecutive composition of three functionals.

Keywords

Original Image Decision Procedure Scanning Line Geometric Transform Recognition Feature 
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.

References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Nikolay Fedotov
    • 1
  • Lyudmila Shulga
  1. 1.Penza State UniversityPenzaRussia

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