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Author Gesù, Vito Di ♦ Vito Di Ges`u. ♦ Valenti, Cesare
Source CiteSeerX
Content type Text
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Input Image ♦ High Level Vision Algorithm ♦ Weighted Version ♦ Digital Object ♦ Etrieve Axis ♦ Symmetric Axis Transform ♦ Gradient Image ♦ Elsevier Preprint ♦ Shape Symmetry ♦ Planar Image ♦ Symmetry Measure ♦ Circular Symmetry Operator ♦ Axial Moment ♦ New Discrete Symm ♦ Symmetry Operator ♦ Local Filtering Operator ♦ Formal Definition ♦ Computer Vision ♦ New Measure ♦ Symmetry Value
Description etrieve axis of symmetry of a planar image are proposed. Shape symmetry is also useful to develop intermediate and high level vision algorithms; for example a weighted version of the Symmetric Axis Transform (SAT) algorithm has been developed in [Blum78] to shape description. Preprint submitted to Elsevier Preprint 16 February 1997 In [Reisfeld95] a symmetry measure is introduced to detect points of interest in a scene. An application of a circular symmetry operator to locate eyes in human faces is shown. The algorithm to detect points of symmetry is developed in two phases: compute the gradient of the input image; for each point of the gradient image compute the symmetry value. Here a new measure of symmetry, based on the definition of axial moments, is introduced. The algorithm is implemented as a product of local filtering operators. In Section 2 formal definitions of digital objects and symmetry are given. Section 2.1 describes a new Discrete Symm
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Date 1995-01-01
Publisher Institution Vistas Astron