Mahmoodi, Sasan and Sharif, Bayan
Nonlinear optimisation method for image segmentation and noise reduction using geometrical intrinsic properties
Image and Vision Computing, 24, .
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.
||Optimisation, Edge detection, Noise reduction, Partial differential equations, Differential geometry
||Southampton Wireless Group
||09 Jun 2008 12:30
||17 Apr 2017 19:12
|Further Information:||Google Scholar|
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