Name
Abstract | ||
|---|---|---|
Many biomedical applications require detection of curvilinear networks in images, and would benefit from automatic or semiautomatic segmentation to allow high-throughput measurements. Here we discuss a contrast independent approach to identify curvilinear structures based on oriented phase congruency, the Phase Congruency Tensor. We show that the proposed approach is largely insensitive to intensity variations along the curve, and provides successful detection within noisy regions. Moreover, we demonstrate that the proposed approach may be used in a wide range of curvilinear and non-curvilinear feature enhancement and detection methods, particularly where tensor representation of the image is explored. The performance of the Phase Congruency Tensor-based methods is evaluated by comparing it with state-of-the-art intensity-based methods on both synthetic and real images of biomedical networks. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/ISBI.2012.6235931 | Biomedical Imaging |
Keywords | Field | DocType |
feature extraction,image enhancement,image representation,image segmentation,medical image processing,biomedical applications,biomedical networks,contrast independent approach,curvilinear networks,curvilinear structures,feature detection methods,intensity variations,local phase approach,noncurvilinear feature enhancement,oriented phase congruency,phase congruency tensor-based methods,semiautomatic segmentation,synthetic image,tensor image representation,Bioimage informatics,Phase Congruency Tensor,anisotropic diffusion filtering,biomedical networks,blob detector,branching structure,coherence enhancing,curvilinear structure,directional statistics,feature detection,live-wire tracing,vector field | Computer vision,Pattern recognition,Tensor,Segmentation,Computer science,Image segmentation,Feature extraction,Artificial intelligence,Curvilinear coordinates,Real image,Bioimage informatics,Phase congruency | Conference |
ISSN | ISBN | Citations |
1945-7928 | 978-1-4577-1857-1 | 0 |
PageRank | References | Authors |
0.34 | 3 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Boguslaw Obara | 1 | 145 | 17.81 |
| Mark Fricker | 2 | 25 | 3.65 |
| Vicente Grau | 3 | 38 | 12.23 |