Wavelet Based Extraction of Blood Vessels

Omer, H. and Hojjatoleslami, Ali (2009) Wavelet Based Extraction of Blood Vessels. In: Encarnacao, P. and Velosa, A., eds. BIOSIGNALS 2009. , Oporto - Portugal pp. 529-534. ISBN 978-989-8111-65-4. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

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An algorithm for the segmentation of blood vessels based on the correlation of different wavelet scales is presented. First the wavelet coefficients are computed for a defined number of scales and then the correlation between the corresponding coefficients of two consecutive scales is computed. The normalized product is used as a reference threshold for retaining original wavelet coefficients. If the normalized product is greater than the corresponding original wavelet coefficient, the original coefficient is retained for image reconstruction by inverse wavelet transform, otherwise the coefficient is changed with zero value. Low frequency wavelet coefficients matrix is not used in image reconstruction process as we want only the edge information. The proposed algorithm is quite general and can be used for the extraction of any type of blood vessels and provides very promising results.

Item Type: Conference or workshop item (Paper)
Uncontrolled keywords: Vessel segmentation; Wavelet coefficients; Image reconstruction; Image enhancement
Subjects: Q Science
R Medicine
Divisions: Faculties > Science Technology and Medical Studies > School of Biosciences
Depositing User: Sayed Ali Hojjatoleslami
Date Deposited: 03 Mar 2010 15:20
Last Modified: 22 May 2014 10:02
Resource URI: https://kar.kent.ac.uk/id/eprint/22680 (The current URI for this page, for reference purposes)
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