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[02378] Hough transform generalization for detecting fuzzy lines and fuzzy circles

  • Session Time & Room : 1C (Aug.21, 13:20-15:00) @
  • Type : Contributed Talk
  • Abstract : In this paper, we investigate a technique, namely fuzzy Hough transform, to detect fuzzy geometrical entities like fuzzy lines and fuzzy circles. This technique identifies fuzzy lines and fuzzy circles by a voting procedure. This voting procedure is carried out in parameter space in the fuzzy set-theoretic framework. Sequentially, a concept of similarity measure between two fuzzy shapes is delineated. Moreover, we apply the proposed technique in a few authentic images to detect fuzzy lines and fuzzy circles. Also, the idea of similarity measure between two fuzzy shapes is implemented in two sample images of fuzzy shapes.
  • Classification : 03E72, 97G40
  • Author(s) :
    • Diksha Gupta (Ajeenkya D Y Patil Unversity, Pune)