TY - JOUR
T1 - Vesselness enhancement diffusion
AU - Canero, C.
AU - Radeva, P.
PY - 2003/1/1
Y1 - 2003/1/1
N2 - We propose a new anisotropic diffusion filter to enhance the local coherence of multiscale tubular structures on 2D images. The proposed filter uses a diffusion tensor with diffusion direction and strength determined by the local structure, and chooses automatically for each pixel the diffusion tensor scale. In this paper, we show how this filter enhances X-ray coronary angiographic images to facilitate vessel segmentation. To this aim, we present experimental results of the performance of the filter on synthetic and real images. © 2003 Elsevier B.V. All rights reserved.
AB - We propose a new anisotropic diffusion filter to enhance the local coherence of multiscale tubular structures on 2D images. The proposed filter uses a diffusion tensor with diffusion direction and strength determined by the local structure, and chooses automatically for each pixel the diffusion tensor scale. In this paper, we show how this filter enhances X-ray coronary angiographic images to facilitate vessel segmentation. To this aim, we present experimental results of the performance of the filter on synthetic and real images. © 2003 Elsevier B.V. All rights reserved.
KW - Image enhancement
KW - Non-linear filtering
KW - Tubular structures enhancement
KW - Vessel segmentation
KW - X-ray angiography
UR - https://www.scopus.com/pages/publications/0142025149
U2 - 10.1016/j.patrec.2003.08.001
DO - 10.1016/j.patrec.2003.08.001
M3 - Article
SN - 0167-8655
VL - 24
SP - 3141
EP - 3151
JO - Pattern Recognition Letters
JF - Pattern Recognition Letters
IS - 16
ER -