Modelling the Effects of Internal Textures on Symmetry Detection Using Fuzzy Operators

Maurizio Cardaci, Filippo Millonzi, Marco Elio Tabacchi, Marco E. Tabacchi, Maurizio Cardaci

Risultato della ricerca: Chapter

Abstract

Symmetry is a crucial dimension which aids the visual system, human as well as artificial, to organize its environment and to recognize forms and objects. In humans, detection of symmetry, especially bilateral and rotational, is considered to be a primary factor for discovering and interacting with the surrounding environment. Rotational symmetry detecting can be affected by less-known factors, such as the stimulus internal texture. This paper explores how fuzzy operators can be usefully employed in modeling the effects of the internal texture on symmetry detection. To this aim, we selected two symmetry detection algorithms, based on different computational models, and compared their output with the outcome of an experiment in symmetry preferences on humans.
Lingua originaleEnglish
Titolo della pubblicazione ospiteFuzzy Logic and Applications
Pagine254-262
Numero di pagine9
Stato di pubblicazionePublished - 2009

Serie di pubblicazioni

NomeLNCS

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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