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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 (Unpublished)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
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of 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:
DateEvent
24 August 2000Completion
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Status: Not Peer Reviewed
Publication Status: Unpublished
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