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.

Download

[img] PDF ImageVisionComputing.pdf - Version of Record
Download (582kB)

Description/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.

Item Type: Article
ISSNs: 0262-8856 (print)
Keywords: Optimisation, Edge detection, Noise reduction, Partial differential equations, Differential geometry
Organisations: Southampton Wireless Group
ePrint ID: 265862
Date :
Date Event
2006Published
Date Deposited: 09 Jun 2008 12:30
Last Modified: 17 Apr 2017 19:12
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/265862

Actions (login required)

View Item View Item