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 (Unpublished)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:	Date Event 24 August 2000 Completion
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Status:	Not Peer Reviewed
Publication Status:	Unpublished
Related URLs:	Organisation

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