Wavelet Transform in Biomedical Image Segmentation and Classification

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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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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Type

D - Article in proceedings

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

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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