The Library
Linear feature extraction using the multiresolution Fourier transform
Tools
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 (Unpublished)
|
PDF (Department of Computer Science Research Report)
WRAP_cs-rr-170.pdf - Other - Requires a PDF viewer. Download (15Mb) | Preview |
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, Engineering and Medicine > 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: |
|
||||
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Status: | Not Peer Reviewed | ||||
Publication Status: | Unpublished | ||||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: |
Request changes or add full text files to a record
Repository staff actions (login required)
View Item |
Downloads
Downloads per month over past year