Nelson, C. J. , Dixon, M., Laissue, P. P. and Obara, B. (2014) Speeding Up Active Mesh Segmentation by Local Termination of Nodes. In: Medical Image Understanding and Analysis (MIUA 2014), Egham, UK, 09-11 Jul 2014, pp. 179-184. ISBN 9781901725513
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Abstract
This article outlines a procedure for speeding up segmentation of images using active mesh systems. Active meshes and other deformable models are very popular in image segmentation due to their ability to capture weak or missing boundary information; however, where strong edges exist, computations are still done after mesh nodes have settled on the boundary. This can lead to extra computational time whilst the system continues to deform completed regions of the mesh. We propose a local termination procedure, reducing these unnecessary computations and speeding up segmentation time with minimal loss of quality.
Item Type: | Conference Proceedings |
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Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Nelson, Dr Chas |
Authors: | Nelson, C. J., Dixon, M., Laissue, P. P., and Obara, B. |
Subjects: | Q Science > Q Science (General) Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
College/School: | College of Science and Engineering > School of Physics and Astronomy |
ISBN: | 9781901725513 |
Copyright Holders: | Copyright © 2014 The Authors |
First Published: | First published in Medical Image Understanding and Analysis - MIUA 2014 Proceedings: 179-184 |
Publisher Policy: | Reproduced in accordance with the publisher copyright policy |
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