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Publication detail
ŠKORPIL, V. ŠŤASTNÝ, J.
Original Title
New Application for the Edge Detection Algorithm. International Journal
Type
journal article - other
Language
English
Original Abstract
The wavelet transform is a comparatively new and fast developing method for analysing signals. The main advantage of applying the wavelet transform to the detection of edges in an image is the possibility of choosing the size of the details that will be detected. The size of detected edges is set by the wavelet scale. In the case of the discrete wavelet transform the choice of the scale is performed by multiple signal passage through the wavelet filter. When processing a 2-D image, the wavelet analysis is performed separately for the horizontal and the vertical function. The vertical and the horizontal edges are thus detected separately. The wavelet transform will split the input signal into two components. One contains the low-frequency (LP) part of input signal, which corresponds to major changes in the function (individual objects in the image, etc.). The other part contains the high-frequency (HP) part of input signal, which corresponds to details in the function (noise, edges, etc.). This signal component is not processed on the next level of transformation.
Keywords
Wavelet transform, Edge detection, Image, Signal, Analysis
Authors
ŠKORPIL, V.; ŠŤASTNÝ, J.
RIV year
2003
Released
26. 4. 2003
ISBN
1109-2750
Periodical
WSEAS Transactions on Computers
Year of study
2
Number
State
Hellenic Republic
Pages from
355
Pages to
359
Pages count
5
URL
knihovna UTKO.
BibTex
@article{BUT41662, author="Vladislav {Škorpil} and Jiří {Šťastný}", title="New Application for the Edge Detection Algorithm. International Journal", journal="WSEAS Transactions on Computers", year="2003", volume="2", number="2", pages="5", issn="1109-2750", url="knihovna UTKO." }