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Robust Image Contour Detection by Watershed Transformation

Xiao, P and Gabbouj, M (1997) Robust Image Contour Detection by Watershed Transformation In: IEEE Workshop on Nonlinear Signal and Image Processing, 1997-09 - ?, Mackinac Island, Michegan.

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Abstract

�Two approaches of multistage gradient robustification for image contour detection are presented in this paper: two stages of Difference of Estimates and Difference of Estimate followed by an optimal filtering. Watershed transformation is then applied to these robusti ed gradient images to effectively detect image contours which are guaranteed to be in closed form. Multistage gradient robustification provides the flexibility of using different image processing techniques and produces good detection results for the images highly corrupted with noise.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Communication Systems Research
Authors :
AuthorsEmailORCID
Xiao, PUNSPECIFIEDUNSPECIFIED
Gabbouj, MUNSPECIFIEDUNSPECIFIED
Date : 1 September 1997
Depositing User : Symplectic Elements
Date Deposited : 15 Nov 2013 13:42
Last Modified : 26 Feb 2015 02:33
URI: http://epubs.surrey.ac.uk/id/eprint/799002

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