IEEE Transactions on Information Theory · 2005 · 107 citations · 13 references
ComputingComputer ScienceComputational GeometryComputer VisionMachine VisionDigital Signal ProcessingFeature DetectionImage AnalysisShape AnalysisSignal Detection TheorySignal ProcessingCorner DetectionSingularity DetectionWavelet AnalysisWavelet TransformWavelet-based Analysis
Complex-valued wavelets are normally used to measure instantaneous frequencies, while real wavelets are normally used to detect singularities. We prove that the wavelet modulus maxima with a complex-valued wavelet can detect and characterize singularities. This is an extension of the previous wavelet work of Mallat and Hwang on modulus maxima using a real wavelet. With this extension, we can simultaneously detect instantaneous frequencies and singularities from the wavelet modulus maxima of a complex-valued wavelet. Some results of singularity detection with the modulus maxima from a real wavelet and an analytic complex-valued wavelet are compared. We also demonstrate that singularity detection methods can be employed to detect the corners of a planar object.
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Scale-space filtering: A new approach to multi-scale description
Andrew Witkin · 2005 · 1.1K citations