Publication | Closed Access
Analysis of Singularities From Modulus Maxima of Complex Wavelets
106
Citations
13
References
2005
Year
Complex WaveletsMachine VisionFeature DetectionImage AnalysisSingularity DetectionPattern RecognitionSingularity Detection MethodsMultidimensional Signal ProcessingEngineeringFeature (Computer Vision)Modulus MaximaEdge DetectionWavelet TheoryApproximation TheorySignal ProcessingWaveform AnalysisComplex Function TheoryComputer Vision
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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