A two-component rectilinearity measure

  • Authors:
  • Paul L. Rosin

  • Affiliations:
  • Cardiff School of Computer Science, Cardiff University, 5 The Parade, Roath, Cardiff CF24 3AA, UK

  • Venue:
  • Computer Vision and Image Understanding
  • Year:
  • 2008

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Abstract

Recently several approaches for measuring the rectilinearity of shapes have been published [P.L. Rosin, J. Zunic, Measuring rectilinearity, Computer Vision and Image Understanding, 99(2) (2005) 175-188; J. Zunic, P.L. Rosin, Rectilinearity measurements for polygons, IEEE Transactions on Pattern Analysis and Machine Intelligence, 25(9) (2003) 1193-1200]. This paper generalises the R"1 and R"2 measures defined by Zunic and Rosin [J. Zunic, P.L. Rosin, Rectilinearity measurements for polygons, IEEE Transactions on Pattern Analysis and Machine Intelligence, 25(9) (2003) 1193-1200] to detect rectilinearity in two new situations: (1) the polygon has been skewed and (2) the shape contains two rectilinear components oriented differently to each other.