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 (Unpublished)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:	Date Event November 1990 Completion
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Status:	Not Peer Reviewed
Publication Status:	Unpublished
Related URLs:	Organisation

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