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Curve and corner extraction using the multiresolution Fourier transform
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Davies, Andrew Richard and Wilson, Roland (1991) Curve and corner extraction using the multiresolution Fourier transform. University of Warwick. Department of Computer Science. (Department of Computer Science research report). (Unpublished)
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PDF (Department of Computer Science Research Report)
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Abstract
A novel method of segmenting images into regions which contain linear or circular arc features is presented. The feature models are based upon spectral properties, local estimates of which are provided, over a range of scales, by the Multiresolution Fourier Transform (MFT). The algorithm ensures that detected features both accurately model the data and are consistent across scale. A method of combining the primitive line and arc segments into more complex features is also considered. Some results from application of the algorithm to a number of natural and synthetic images are presented to illustrate its effectiveness in practical applications.
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, Fourier transformations | ||||
Series Name: | Department of Computer Science research report | ||||
Publisher: | University of Warwick. Department of Computer Science | ||||
Official Date: | November 1991 | ||||
Dates: |
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Number: | Number 202 | ||||
Number of Pages: | 20 | ||||
DOI: | CS-RR-202 | ||||
Institution: | University of Warwick | ||||
Theses Department: | Department of Computer Science | ||||
Status: | Not Peer Reviewed | ||||
Publication Status: | Unpublished | ||||
Reuse Statement (publisher, data, author rights): | A.R. Davies and R.G. Wilson, “Curve and Corner Extraction Using the Multiresolution Fourier Transform”, <i>Proceedings of the 4th IEE Conference on Image Processing and Applications</i>, Maastricht, 1992 (1992) | ||||
Funder: | Science and Engineering Research Council (Great Britain) (SERC) | ||||
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