Edges and Corners With Shearlets | IEEE Journals & Magazine | IEEE Xplore

Abstract:

Shearlets are a relatively new and very effective multi-scale framework for signal analysis. Contrary to the traditional wavelets, shearlets are capable to efficiently ca...Show More

Abstract:

Shearlets are a relatively new and very effective multi-scale framework for signal analysis. Contrary to the traditional wavelets, shearlets are capable to efficiently capture the anisotropic information in multivariate problem classes. Therefore, shearlets can be seen as the valid choice for multi-scale analysis and detection of directional sensitive visual features like edges and corners. In this paper, we start by reviewing the main properties of shearlets that are important for edge and corner detection. Then, we study algorithms for multi-scale edge and corner detection based on the shearlet representation. We provide an extensive experimental assessment on benchmark data sets which empirically confirms the potential of shearlets feature detection.
Published in: IEEE Transactions on Image Processing ( Volume: 24, Issue: 11, November 2015)
Page(s): 3768 - 3780
Date of Publication: 30 June 2015

ISSN Information:

PubMed ID: 26353351

Funding Agency:


Contact IEEE to Subscribe

References

References is not available for this document.