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Coherence enhancing diffusion filtering based on the Phase Congruency Tensor

Lookup NU author(s): Professor Boguslaw ObaraORCiD


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Many biomedical applications require the enhancement of coherent flow-like curvilinear structures in images. This can be accomplished in a natural way by adopting anisotropic diffusion filtering to local texture analysis by means of the structure tensor. Here we propose a contrast independent anisotropic diffusion filtering of curvilinear structures based on a novel concept: the Phase Congruency Tensor (PCT). The phase angle of the PCT determines the preferred diffusion direction and the diffusity is controlled by PCT-based vesselness measure. We show that the proposed method is largely insensitive to intensity variations along the curve, and provides successful enhancement within noisy regions. The performance of the proposed approach was evaluated by comparing it with a state-of-the-art intensity-based approach on both synthetic and real biological images. © 2012 IEEE.

Publication metadata

Author(s): Obara B, Fricker M, Grau V

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 9th IEEE International Symposium on Biomedical Imaging (ISBI 2012)

Year of Conference: 2012

Pages: 202-205

Online publication date: 12/07/2012

ISSN: 1945-8452

Publisher: IEEE


DOI: 10.1109/ISBI.2012.6235519

Library holdings: Search Newcastle University Library for this item

ISBN: 9781457718588