Determination of Image Edge Width by Unsharp Masking

Authors:
A. A. Nasonova;A. S. Krylov
Affiliations:
Faculty of Computational Mathematics and Cybernetics, Moscow State University, Moscow, Russia;Faculty of Computational Mathematics and Cybernetics, Moscow State University, Moscow, Russia
Venue:
Computational Mathematics and Modeling
Year:
2014

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Abstract

A new method is developed for assessing the image edge width based on the unsharp masking approach. A model of the image edge is proposed and a complete solution of the edge width determination problem is obtained. The accuracy of edge determination is analyzed as a function of the length of segments on which profile information is specified and the noise level. An application of the method to assess the quality of an ophthalmological image is reported.