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    Watershed segmentation using a multi-scale ramp edge gradient operator

    Corcoran, Padraig and Winstanley, Adam C. (2007) Watershed segmentation using a multi-scale ramp edge gradient operator. In: International Machine Vision and Image Processing Conference, 2007. IMVIP 2007. IEEE, pp. 158-165. ISBN 9780769528878

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    For the watershed segmentation algorithm to be successful it must be implemented on a realistic gradient image. In most watershed implementations, gradients are extracted using an operator optimal for ideal step edges. However, image edges are never ideal steps and more closely resemble ramp edges at multiple scales. Therefore this strategy results in an inaccurate measure of image gradients and in turn lessens segmentation performance. In this paper we propose a new multiscale gradient operator for ramp edges. This strategy merges the properties of accurate gradient estimation of a large scale kernel with accurate localization of a small scale kernel by tracking gradients from larger to smaller scales. Quantitative performance evaluation of segmentation results shows this approach to outperform a traditional single small scale gradient operator optimal for step edges.

    Item Type: Book Section
    Keywords: Watershed segmentation; multi-scale ramp edge gradient operator; watershed segmentation algorithm; image segmentation;
    Academic Unit: Faculty of Science and Engineering > Computer Science
    Item ID: 8099
    Identification Number:
    Depositing User: Dr. Adam Winstanley
    Date Deposited: 30 Mar 2017 14:33
    Publisher: IEEE
    Refereed: Yes
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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