Pressure based segmentation in volumetric images
Pressure based segmentation in volumetric images
Analysing Roman coins found in archaeology sites has been traditionally done manually by an operator using volumetric image slices provided by a computed tomography scanner. In order to automate the counting process, a good segmentation for the coins has to be achieved to separate the touching surfaces of the coins. Separating touching surfaces in volumetric images has not yet attracted much attention. In this paper we propose a new method based on using a form of pressure to separate the intersecting surfaces. We analogise the background of the image to be filled with an ideal gas. The pressure at a point has an inverse relationship with the volume of homogeneous material surrounding it. By studying the pressure space, the locations of intersecting surfaces are highlighted and encouraging segmentation results are achieved. Our analysis concerns a selection of images, naturally demonstrating success, together with an analysis of the new technique’s sensitivity to noise.
978-3-642-41913-3
238-245
Alathari, Thamer
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Nixon, Mark S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Bebis, George
e1678d60-c648-4298-9144-f72de8b4d5df
2013
Alathari, Thamer
0e4d164a-4929-4f9c-8da0-31f525be5bcb
Nixon, Mark S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Bebis, George
e1678d60-c648-4298-9144-f72de8b4d5df
Alathari, Thamer and Nixon, Mark S.
(2013)
Pressure based segmentation in volumetric images.
Bebis, George
(ed.)
International Symposium on Vision Computing 2013.
.
(doi:10.1007/978-3-642-41914-0_24).
Record type:
Conference or Workshop Item
(Paper)
Abstract
Analysing Roman coins found in archaeology sites has been traditionally done manually by an operator using volumetric image slices provided by a computed tomography scanner. In order to automate the counting process, a good segmentation for the coins has to be achieved to separate the touching surfaces of the coins. Separating touching surfaces in volumetric images has not yet attracted much attention. In this paper we propose a new method based on using a form of pressure to separate the intersecting surfaces. We analogise the background of the image to be filled with an ideal gas. The pressure at a point has an inverse relationship with the volume of homogeneous material surrounding it. By studying the pressure space, the locations of intersecting surfaces are highlighted and encouraging segmentation results are achieved. Our analysis concerns a selection of images, naturally demonstrating success, together with an analysis of the new technique’s sensitivity to noise.
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Published date: 2013
Venue - Dates:
International Symposium on Vision Computing 2013, 2013-01-01
Organisations:
Vision, Learning and Control
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Local EPrints ID: 359825
URI: http://eprints.soton.ac.uk/id/eprint/359825
ISBN: 978-3-642-41913-3
PURE UUID: 4bcd6609-bac5-40bf-94bd-1c1d5a6495e1
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Date deposited: 13 Nov 2013 17:26
Last modified: 15 Mar 2024 02:35
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Author:
Thamer Alathari
Editor:
George Bebis
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