Anisotropic haralick edge detection scheme with application to vessel segmentation

Gooya, A. , Dohi, T., Sakuma, I. and Liao, H. (2008) Anisotropic haralick edge detection scheme with application to vessel segmentation. In: Dohi, T., Sakuma, I. and Liao, H. (eds.) Medical Imaging and Augmented Reality: 4th International Workshop Tokyo, Japan, August 1-2, 2008, Proceedings. Series: Lecture notes in computer science (5128). Springer, pp. 430-438. ISBN 9783540799818 (doi: 10.1007/978-3-540-79982-5_47)

Abstract

In this paper, detection of edges in oriented fields is addressed. Haralick edge detection is an accurate scheme for estimation of the edge in a Euclidean space. However, in some applications such as edge detection for vessel segmentation because of the intrinsic orientation of structures, accuracy is only demanded in a particular subspace. This is specially usefull when a curve evolution is chosen for segmentation since gradients in parallel to vessel orientation stops evolution. Haralick edge detection is generalized on a Riemannian space using the inner product of the vectors under a space metric tensor. This eliminates the spurious gradients and preserves the accuracy on the vessel border. Examples are given and the comparison is made with the state-of-the-art flux maximizing flow indicating that significant improvements in terms of leakage minimization and thiner vessel delineation is achievable using our methodology

• Item Type: Book Sections
• Additional Information: eISBN: 9783540799825.
• Status: Published
• Glasgow Author(s) Enlighten ID: Gooya, Dr Ali
• Authors: Gooya, A., Dohi, T., Sakuma, I., and Liao, H.
• College/School: College of Science and Engineering > School of Computing Science
• Publisher: Springer
• ISBN: 9783540799818

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