Structural Saliency: The Detection of Globally Salient Structures Using a Locally Connected Network

Authors:
Shimon Ullman;Amnon Sha''ashua
Affiliations:
-;-
Venue:
Structural Saliency: The Detection of Globally Salient Structures Using a Locally Connected Network
Year:
1988

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Abstract

Certain salient structures in images attract our immediate attention without requiring a systematic scan. We present a method for computing saliency by a simple iterative scheme, using a uniform network of locally connected processing elements. The network uses an optimization approach to produce a ``saliency map,'''' a representation of the image emphasizing salient locations. The main properties of the network are: (i) the computations are simple and local, (ii) globally salient structures emerge with a small number of iterations, and (iii) as a by-product of the computations, contours are smoothed and gaps are filled in.