Edge Detection in Medical Images Using the Wavelet Transform

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F10%3A00023513" target="_blank" >RIV/60461373:22340/10:00023513 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Edge Detection in Medical Images Using the Wavelet Transform
Original language description
Edge detection improves image readability and it is an important part of images preprocessing aimed to their segmentation and automatic recognition of their contents. This paper describes selected methods of edge detection in magnetic resonance images, with the emphasis on the wavelet transform use. Modulus Maxima Method by Stephane Mallat provides the method for edge detection using wavelet transform. This method is based on finding local maxima of horizontal and vertical wavelet coefficients in the first level of wavelet decomposition. It was tested with various wavelet functions both on simulated and real medical images. Presented paper contains a comparison of basic edge detection methods including simple gradient operators and Canny edge detector,and their combination with wavelet transform use. Mathematical principals were studied, as well as application of these methods. All algorithms were developed in the MATLAB environment using Wavelet and Image Processing Toolboxes.
Czech name
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Czech description
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Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
18th Annual Conference Proceedings technical Computing Bratislava 2010
ISBN
978-80-970519-0-7
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
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Publisher name
RT Systems
Place of publication
Bratislava
Event location
Bratislava, Slovakia
Event date
Jan 1, 2010
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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