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Multiresolution image segmentation

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Bhalerao, Abhir and Wilson, Roland (1989) Multiresolution image segmentation. Coventry, UK: University of Warwick. Department of Computer Science. (Department of Computer Science Research Report). (Unpublished)

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Abstract

The segmentation of images into regions that have some common property is a fundamental problem in image processing. Traditional approaches to segmentation have been either edge based or region based. It is clear, however, that a multiresolution approach, where image properties are measured at varying scales, is the only way to overcome the inherent uncertainty between the class of a region and its position. A review is presented of both boundary and region bsed schemes concentrating on multiresolution methods. Taking boundary information as input, these operators can detect features such as corners, and could be employed to provide shape information in a segmentation scheme. A new quad-tree segmentation method is described and some initial results presented.

Item Type: Report
Subjects: Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Divisions: Faculty of Science > Computer Science
Library of Congress Subject Headings (LCSH): Image processing -- Digital techniques, Image segmentation
Series Name: Department of Computer Science Research Report
Publisher: University of Warwick. Department of Computer Science
Place of Publication: Coventry, UK
Official Date: September 1989
Dates:
DateEvent
September 1989Completion
Number: Number 149
Number of Pages: 48
DOI: CS-RR-149
Institution: University of Warwick
Theses Department: Department of Computer Science
Status: Not Peer Reviewed
Publication Status: Unpublished
Publisher Statement: A.H.&nbsp;Bhalerao and R.G.&nbsp;Wilson, &ldquo;Multiresolution Image Segmentation Combining Region and Boundary Information&rdquo;, <i>Theory and Applications of Image Analysis: Proceedings of the 7th Scandinavian Conference on Image Analysis</i>, Aalborg, ed.&nbsp;P.&nbsp;Johansen and S.&nbsp;Olsen, World Scientific, pp.&nbsp;1162-1169 (1992)
Funder: Science and Engineering Research Council (Great Britain) (SERC)
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