Shape Extraction Via Heat Flow Analogy
Shape Extraction Via Heat Flow Analogy
In this paper, we introduce a novel evolution-based segmentation algorithm by using the heat flow analogy, to gain practical advantage. The proposed algorithm consists of two parts. In the first part, we represent a particular heat conduction problem in the image domain to roughly segment the region of interest. Then we use geometric heat flow to complete the segmentation, by smoothing extracted boundaries and removing possible noise inside the prior segmented region. The proposed algorithm is compared with active contour models and is tested on synthetic and medical images. Experimental results indicate that our approach works well in noisy conditions without pre-processing. It can detect multiple objects simultaneously. It is also computationally more efficient and easier to control and implement in comparison to active contour models.
evolution based segmentation, heat flow, shape extraction
553-564
Direkoglu, Cem
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Nixon, Mark S
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Blanc-Talon, Jacques
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Philips, Wilfried
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Popescu, Dan
c5a536e3-256a-42d8-91e9-64a7952e2130
Scheunder, Paul
87abeae2-6146-429c-a6f3-c3fb923597d1
2007
Direkoglu, Cem
b793e59b-4188-44b2-99c5-b4dedc46cfda
Nixon, Mark S
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Blanc-Talon, Jacques
a765194c-5196-46c5-a159-c60c7fef1d8d
Philips, Wilfried
5067847b-ceba-4e75-9c92-a38103d78520
Popescu, Dan
c5a536e3-256a-42d8-91e9-64a7952e2130
Scheunder, Paul
87abeae2-6146-429c-a6f3-c3fb923597d1
Direkoglu, Cem and Nixon, Mark S
(2007)
Shape Extraction Via Heat Flow Analogy.
Blanc-Talon, Jacques, Philips, Wilfried, Popescu, Dan and Scheunder, Paul
(eds.)
International Conference on Advanced Concepts for Intelligent Vision Systems (Acivs 2007), LNCS 4678, Delft, the, Netherlands.
28 - 31 Aug 2007.
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
In this paper, we introduce a novel evolution-based segmentation algorithm by using the heat flow analogy, to gain practical advantage. The proposed algorithm consists of two parts. In the first part, we represent a particular heat conduction problem in the image domain to roughly segment the region of interest. Then we use geometric heat flow to complete the segmentation, by smoothing extracted boundaries and removing possible noise inside the prior segmented region. The proposed algorithm is compared with active contour models and is tested on synthetic and medical images. Experimental results indicate that our approach works well in noisy conditions without pre-processing. It can detect multiple objects simultaneously. It is also computationally more efficient and easier to control and implement in comparison to active contour models.
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Published date: 2007
Additional Information:
Event Dates: 28-31 August, 2007
Venue - Dates:
International Conference on Advanced Concepts for Intelligent Vision Systems (Acivs 2007), LNCS 4678, Delft, the, Netherlands, 2007-08-28 - 2007-08-31
Keywords:
evolution based segmentation, heat flow, shape extraction
Organisations:
Southampton Wireless Group
Identifiers
Local EPrints ID: 264498
URI: http://eprints.soton.ac.uk/id/eprint/264498
PURE UUID: 580aec4f-1a27-434b-ae4b-55349d793b9d
Catalogue record
Date deposited: 13 Sep 2007
Last modified: 15 Mar 2024 02:35
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Contributors
Author:
Cem Direkoglu
Editor:
Jacques Blanc-Talon
Editor:
Wilfried Philips
Editor:
Dan Popescu
Editor:
Paul Scheunder
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