Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
526071 | Computer Vision and Image Understanding | 2008 | 10 Pages |
Abstract
Recently several approaches for measuring the rectilinearity of shapes have been published [P.L. Rosin, J. ŽuniÄ, Measuring rectilinearity, Computer Vision and Image Understanding, 99(2) (2005) 175-188; J. ŽuniÄ, P.L. Rosin, Rectilinearity measurements for polygons, IEEE Transactions on Pattern Analysis and Machine Intelligence, 25(9) (2003) 1193-1200]. This paper generalises the R1 and R2 measures defined by ŽuniÄ and Rosin [J. ŽuniÄ, 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.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Paul L. Rosin,