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Unsupervised image segmentation combining region and boundary estimation
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Bhalerao, Abhir and Wilson, Roland (2000) Unsupervised image segmentation combining region and boundary estimation. University of Warwick. Department of Computer Science. (Department of Computer Science research report). (Unpublished)
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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 multiresolution representation. The use of a multiresolution 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: | Report | ||||
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Subjects: | T Technology > TA Engineering (General). Civil engineering (General) | ||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||
Library of Congress Subject Headings (LCSH): | Image segmentation | ||||
Series Name: | Department of Computer Science research report | ||||
Publisher: | University of Warwick. Department of Computer Science | ||||
Official Date: | 24 August 2000 | ||||
Dates: |
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Number: | Number 375 | ||||
Number of Pages: | 28 | ||||
DOI: | CS-RR-375 | ||||
Institution: | University of Warwick | ||||
Theses Department: | Department of Computer Science | ||||
Status: | Not Peer Reviewed | ||||
Publication Status: | Unpublished | ||||
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