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Unsupervised image segmentation combining region and boundary estimation
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Bhalerao, Abhir and Wilson, Roland (2001) Unsupervised image segmentation combining region and boundary estimation. Image and Vision Computing, Volume 19 (Number 6). pp. 353-368. doi:10.1016/S0262-8856(00)00084-6
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Official URL: http://dx.doi.org/10.1016/S0262-8856(00)00084-6
Abstract
An integrated approach to image segmentation is presented that combines region and boundary information using maximum a posteriori estimation and decision theory. The algorithm employs iterative, decision-directed estimation performed on a novel multi-resolution representation. The use of a multi-resolution technique ensures both robustness in noise and efficiency of computation, while the model-based estimation and decision process is flexible and spatially local, thus avoiding assumptions about global homogeneity or size and number of regions. A comparative evaluation of the method against region-only and boundary-only methods is presented and is shown to produce accurate segmentations at quite low signal-to-noise ratios.
Item Type: | Journal Article | ||||
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Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software | ||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||
Library of Congress Subject Headings (LCSH): | Image processing -- Digital techniques, Image segmentation | ||||
Journal or Publication Title: | Image and Vision Computing | ||||
Publisher: | Elsevier | ||||
Official Date: | 15 April 2001 | ||||
Dates: |
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Volume: | Volume 19 | ||||
Number: | Number 6 | ||||
Page Range: | pp. 353-368 | ||||
DOI: | 10.1016/S0262-8856(00)00084-6 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Restricted or Subscription Access | ||||
Date of first compliant deposit: | 28 July 2016 | ||||
Date of first compliant Open Access: | 28 July 2016 |
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