Massey, Elizabeth and Lowell, James and Hunter, Andrew and Steele, David (2009) Lesion boundary segmentation using level set methods. In: VisApp - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1, February 5-8, 2009, Lisbon, Portugal.
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Abstract
This paper addresses the issue of accurate lesion segmentation in retinal imagery, using level set methods and a novel stopping mechanism - an elementary features scheme. Specifically, the curve propagation is guided by a gradient map built using a combination of histogram equalization and robust statistics. The stopping mechanism uses elementary features gathered as the curve deforms over time, and then using a lesionness measure, defined herein, ’looks back in time’ to find the point at which the curve best fits the real object. We implement the level set using a fast upwind scheme and compare the proposed method against five other segmentation algorithms performed on 50 randomly selected images of exudates with a database of clinician marked-up boundaries as ground truth.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Additional Information: | This paper addresses the issue of accurate lesion segmentation in retinal imagery, using level set methods and a novel stopping mechanism - an elementary features scheme. Specifically, the curve propagation is guided by a gradient map built using a combination of histogram equalization and robust statistics. The stopping mechanism uses elementary features gathered as the curve deforms over time, and then using a lesionness measure, defined herein, ’looks back in time’ to find the point at which the curve best fits the real object. We implement the level set using a fast upwind scheme and compare the proposed method against five other segmentation algorithms performed on 50 randomly selected images of exudates with a database of clinician marked-up boundaries as ground truth. |
| Keywords: | computer vision, retinal lesion segmentation, segmentation, level set methods |
| Subjects: | G Mathematical and Computer Sciences > G400 Computer Science |
| Divisions: | College of Sciences > Faculty of Science > Lincoln School of Computer Science |
| Depositing User: | Users 501743 not found. |
| Date Deposited: | 15 Oct 2008 18:00 |
| Last Modified: | 13 Mar 2013 08:30 |
| URI: | http://eprints.lincoln.ac.uk/id/eprint/1658 |
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