A comparative analysis is made of visual-perception models for estimating how the probability of distinguishing a target object is affected by background noise caused by the inhomogeneity of an outdoor scene and by the objects included in it. It is shown that a model that takes into account the regularities of the perception of visual stimuli and semantic objects describes the experimental data concerning the probability of distinguishing an object in the presence of background noise more simply and with greater reliability than a model based on signal-detection theory.

PDF Article

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
Login to access OSA Member Subscription