Corners provide rich information for examining frame-to-frame displacement characteristics of images, and are very useful features for such purposes as image matching or shape analysis. This paper describes a new method that uses a diffusion-like process to classify angles in an image. The proposed method exploits the curvature value of a contour to characterize the corresponding angle. The effectiveness of the new method is illustrated with the results of experiments for a number of different angle types.

Evaluating digital angles by a parallel diffusion process

LOMBARDI, LUCA;
1995-01-01

Abstract

Corners provide rich information for examining frame-to-frame displacement characteristics of images, and are very useful features for such purposes as image matching or shape analysis. This paper describes a new method that uses a diffusion-like process to classify angles in an image. The proposed method exploits the curvature value of a contour to characterize the corresponding angle. The effectiveness of the new method is illustrated with the results of experiments for a number of different angle types.
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/11571/108919
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact