A new method for measuring shape rectangularity is introduced. The new shape measure is invariant with respect to similarity transformations, ranges over the interval (0,1] and picks the value 1 if and only if the measured shape is a rectangle. The measure is theoretically well founded and has a clear geometric meaning, i.e. it indicates how the shape considered differs from a rectangle. So, the measure behavior can be predicted to some extent, which is always an advantage.

Measuring shape rectangularity

Dragisa Zunic;
2011-01-01

Abstract

A new method for measuring shape rectangularity is introduced. The new shape measure is invariant with respect to similarity transformations, ranges over the interval (0,1] and picks the value 1 if and only if the measured shape is a rectangle. The measure is theoretically well founded and has a clear geometric meaning, i.e. it indicates how the shape considered differs from a rectangle. So, the measure behavior can be predicted to some extent, which is always an advantage.
2011
Shape; rectangularity; shape measurement; image retrieval; image processing; computer vision
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12571/37147
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 4
  • ???jsp.display-item.citation.isi??? ND
social impact