Wavelet Transform in Biomedical Image Segmentation and Classification
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F11%3A43892384" target="_blank" >RIV/60461373:22340/11:43892384 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Wavelet Transform in Biomedical Image Segmentation and Classification
Original language description
The contribution is devoted to the study of image segmentation and texture analysis to find image features invariant to image components rotation and translation. The main part of the paper presents the principle of Radon transform and its use in combination with the wavelet transform to find features minimizing their variance due to image components rotation. Proposed methods have been verified for simulated structures and then used for analysis of biomedical images including magnetic resonance imagesof the brain and orthodontic images. The goal of image processing included in all cases (i) segmentation of selected biomedical objects and (ii) detection of their features.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 7th International Symposium on Image and Signal Processing and Analysis ISPA 2011
ISBN
978-953-184-159-7
ISSN
1845-5921
e-ISSN
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Number of pages
4
Pages from-to
519-522
Publisher name
University of Zagreb, Faculty of Electrical Engineering and Computing
Place of publication
Dubrovnik
Event location
Dubrovnik
Event date
Sep 4, 2011
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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