Watershed segmentation of an image enhanced by Teager energy driven diffusion

We use the Teager energy driven nonlinear diffusion process to reduce the influence of noise in the watershed segmentation of an image. We show that the performance of this non-linear diffusion process is better than the performance of the traditional gradient driven non-linear diffusion process.

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Bibliographische Detailangaben
Hauptverfasser:	De Vleesschauwer, D, Cheikh, F.A, Hamila, R, Gabbouj, M
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Applied sciences Exact sciences and technology Image processing Information, signal and communications theory Optical information, image and video signal processing Pattern recognition Signal processing Telecommunications and information theory
Online-Zugang:	Volltext
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Beschreibung
Zusammenfassung:	We use the Teager energy driven nonlinear diffusion process to reduce the influence of noise in the watershed segmentation of an image. We show that the performance of this non-linear diffusion process is better than the performance of the traditional gradient driven non-linear diffusion process.
ISSN:	0537-9989
DOI:	10.1049/cp:19970894