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Nonlinear optimisation method for image segmentation and noise reduction using geometrical intrinsic properties

Mahmoodi, Sasan and Sharif, Bayan (2006) Nonlinear optimisation method for image segmentation and noise reduction using geometrical intrinsic properties Image and Vision Computing, 24, pp. 202-209.

Record type: Article

Abstract

This paper considers the optimisation of a nonlinear functional for image segmentation and noise reduction. Equations optimising this functional are derived and employed to detect edges using geometrical intrinsic properties such as metric and Riemann curvature tensor of a smooth differentiable surface approximating the original image. Images are then smoothed using a Helmholtz type partial differential equation. The proposed approach is shown to be very efficient and robust in the presence of noise, and the reported results demonstrate better performance than the conventional derivative based edge detectors.

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More information

Published date: 2006
Keywords: Optimisation, Edge detection, Noise reduction, Partial differential equations, Differential geometry
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 265862
URI: http://eprints.soton.ac.uk/id/eprint/265862
ISSN: 0262-8856
PURE UUID: 3710290d-cf51-49d9-b968-cbbc2f47dbde

Catalogue record

Date deposited: 09 Jun 2008 12:30
Last modified: 18 Jul 2017 07:22

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Contributors

Author: Sasan Mahmoodi
Author: Bayan Sharif

University divisions

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