Singularity detection in images using dual local autocovariance. (English) Zbl 1063.68102
Summary: Differences in the eigenvalues of an autocovariance matrix indicate directions at which the local Fourier power spectrum of a function is slowly decreasing. This provides a technique to discriminate edge-like singularities from other features in images.
MSC:
| 68U10 | Computing methodologies for image processing |
Keywords:
Local Fourier power spectrum; Edge detection; Moments; Morrey-Campanato spaces; Nondifferentiable regularityReferences:
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