Singularities and Regularities on Line Pictures via Symmetrical Trapezoids

  • Authors:
  • Jairo Rocha;Rafael Bernardino

  • Affiliations:
  • -;-

  • Venue:
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Year:
  • 1998

Quantified Score

Hi-index 0.14

Visualization

Abstract

An algorithm that decomposes a line image into singular and regular regions is presented. We define a contour trapezoid as the building block of regular regions, and postulate a Maximal Trapezoid Set as the core of regular regions. Then, we describe an algorithm that calculates a Maximal Trapezoid Set of a polygon and show how to use it to find a skeleton of a polygonal approximation of a contour. Experiments are explained to show the behavior of the new concept on real images as compared to previous algorithms.