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Petros Maragos

Researcher at National Technical University of Athens

Publications -  475
Citations -  15310

Petros Maragos is an academic researcher from National Technical University of Athens. The author has contributed to research in topics: Image processing & Computer science. The author has an hindex of 58, co-authored 443 publications receiving 14108 citations. Previous affiliations of Petros Maragos include Carnegie Mellon University & Georgia Institute of Technology.

Papers
More filters
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Energy separation in signal modulations with application to speech analysis

TL;DR: The experimental results provide evidence that bandpass-filtered speech signals around speech formants contain amplitude and frequency modulations within a pitch period, and several efficient algorithms are developed and compared for estimating the amplitude envelope and instantaneous frequency of discrete-time AM-FM signals.
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Pattern spectrum and multiscale shape representation

TL;DR: The results of a study on multiscale shape description, smoothing and representation are reported, showing that the partially reconstructed images from the inverse transform on subsequences of skeleton components are the openings of the image at a scale determined by the number of eliminated components.
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Morphological filters--Part I: Their set-theoretic analysis and relations to linear shift-invariant filters

TL;DR: The representation of classical linear filters in terms of morphological correlations, which involve supremum/infimum operations and additions, are introduced and demonstrate the power of mathematical morphology as a unifying approach to both linear and nonlinear signal-shaping strategies.
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On amplitude and frequency demodulation using energy operators

TL;DR: It is shown that the nonlinear energy-tracking signal operator Psi and its discrete-time counterpart can estimate the amplitude envelope of AM signals and the instantaneous frequency of FM signals.
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Morphological filters--Part II: Their relations to median, order-statistic, and stack filters

TL;DR: This paper extends the theory of median, order-statistic (OS), and stack filters by using mathematical morphology to analyze them and by relating them to those morphological erosions, dilations, openings, closings, and open-closings that commute with thresholding.