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Characterization and Analysis of Edges Using the Continuous Shearlet Transform
Author(s) -
Kanghui Guo,
Demetrio Labate
Publication year - 2009
Publication title -
siam journal on imaging sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.944
H-Index - 71
ISSN - 1936-4954
DOI - 10.1137/080741537
Subject(s) - shearlet , curvature , boundary (topology) , curvelet , characterization (materials science) , tangent , mathematics , enhanced data rates for gsm evolution , geometry , edge detection , mathematical analysis , image (mathematics) , image processing , artificial intelligence , computer science , wavelet transform , wavelet , physics , optics
This paper shows that the continuous shearlet transform, a novel directional multiscale transform recently introduced by the authors and their collaborators, provides a precise geometrical characterization for the boundary curves of very general planar regions. This study is motivated by imaging applications, where such boundary curves represent edges of images. The shearlet approach is able to characterize both locations and orientations of the edge points, including corner points and junctions, where the edge curves exhibit abrupt changes in tangent or curvature. Our results encompass and greatly extend previous results based on the shearlet and curvelet transforms which were limited to very special cases such as polygons and smooth boundary curves with nonvanishing curvature.

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