Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/23038
Title: The GVF snake with a minimal path approach
Authors: Sun, CS
Lam, KM 
Keywords: Edge detection
Feature extraction
Image segmentation
Object detection
Issue Date: 2007
Publisher: IEEE
Source: 6th IEEE/ACIS International Conference on Computer and Information Science, 2007 : ICIS 2007, 11-13 July 2007, Melbourne, Qld., p. 223-228 How to cite?
Abstract: In this paper we propose a contour extraction method based on the active contour model, which uses the GVF snake to obtain the initial segments for a contour; and then a minimal path method for the refinement stage, to obtain an accurate and more robust result. By employing the minimal path method to find missing segments between pairs of nodes defined on the contour obtained by the GVF snake, our algorithm is able to detect deep concave parts of object boundary, and works well even when the snake initialization is not very good.
URI: http://hdl.handle.net/10397/23038
ISBN: 0-7695-2841-4
DOI: 10.1109/ICIS.2007.178
Appears in Collections:Conference Paper

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