Publication detail

New Application for the Edge Detection Algorithm. International Journal

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

2

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."
}