Developing and Analyzing Boundary Detection Operators Using Probabilistic Models

( 1) The probability that an image identical tn the one observed would be seen given that a feature proposition "' true (P(O I F)). ( 2) The probabili ty that the image would he observed independently of the r'tature proposition ( P( 0 )). An example of a feature proposition is "An object boundary exists at point x,y." Another example of a feature proposition is " Point x.y is in the interior of an object. " Giv\!n such an L>pcrator and some apriori probability fllr the feature ( P( F)) the pwbab il ity that the feature is present given rl at the image is obs�n cd is P({) I F)P( F)