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Linear feature extraction using the multiresolution Fourier transform

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Davies, Andrew Richard and Wilson, Roland (1990) Linear feature extraction using the multiresolution Fourier transform. University of Warwick. Department of Computer Science. (Department of Computer Science research report). (Unpublished)

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Abstract

A hierarchical space-time image representation - the Multiresolution Fourier Transform (MFT) - is discussed, and its properties are used in order to define a spectrum based model for the class of simple linear features, such as straight lines and edges. The model is used to derive a method of identifying these features and estimating their parameters, ie position and orientation. Results are presented for this process using a test image. The effect of white noise is considered, and a correlation measure is defined to show the effect of the noise upon the model. A method of further improving the results for a noisy image, by smoothing with oriented ellipses is also considered.

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 analysis, Fourier transformations
Series Name: Department of Computer Science research report
Publisher: University of Warwick. Department of Computer Science
Official Date: November 1990
Dates:
DateEvent
November 1990Completion
Number: Number 170
Number of Pages: 41
DOI: CS-RR-170
Institution: University of Warwick
Theses Department: Department of Computer Science
Status: Not Peer Reviewed
Publication Status: Unpublished
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