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%2F11%3A43892370" target="_blank" >RIV/60461373:22340/11:43892370 - 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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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JD - Use of computers, robotics and its application

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2011

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Posterus

ISSN

1338-0087

e-ISSN

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Volume of the periodical

4

Issue of the periodical within the volume

7

Country of publishing house

SK - SLOVAKIA

Number of pages

8

Pages from-to

1-8

UT code for WoS article

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EID of the result in the Scopus database

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