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Vessel enhancement using directional features.

Author(s)
Mohammad A. U. Khan Department of Electrical Engineering, Comsats Institute of Information Technology, Abbottabad, Pakistan
Rabya Bahadur Department of Electrical Engineering, Comsats Institute of Information Technology, Abbottabad, Pakistan
Sara Javed Department of Electrical Engineering, Comsats Institute of Information Technology, Abbottabad, Pakistan
Phan Tran Ho Truc Department of Computer Engineering, Kyung Hee University, Suwon, South Korea
Abstract
In this study, the authors propose a novel framework for vessel enhancement in angiography images. The proposed approach utilize the image directional information to estimate the Hessian eigenvalues with less noise sensitivity and thus can correctly reveal more small, thin vessels. Also, the directional image decomposition helps to avoid junction suppression due to which, yields vessel tree are more continuous. Qualitative and quantitative evaluations show that the proposed filter generates better performance in comparison with conventional Hessian-based approaches.
Publication Details
Page(s) 851-857
DOI DOI not available
Published Journal: Information technology Journal, Volume: 6, Issue: 6, Year: 2007

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