Journal
IEEE TRANSACTIONS ON IMAGE PROCESSING
Volume 21, Issue 5, Pages 2572-2581Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIP.2012.2185938
Keywords
Bioimage informatics; curvilinear structure; live-wire tracing; phase congruency tensor (PCT)
Funding
- Biotechnology and Biological Sciences Research Council
- Engineering and Physical Sciences Research Council, U.K.
- Research Councils U.K.
- EPSRC [EP/J013250/1] Funding Source: UKRI
- Engineering and Physical Sciences Research Council [EP/J013250/1] Funding Source: researchfish
Ask authors/readers for more resources
Many biomedical applications require detection of curvilinear structures in images and would benefit from automatic or semiautomatic segmentation to allow high-throughput measurements. Here, we propose a contrast-independent approach to identify curvilinear structures based on oriented phase congruency, i.e., the phase congruency tensor (PCT). We show that the proposed method is largely insensitive to intensity variations along the curve and provides successful detection within noisy regions. The performance of the PCT is evaluated by comparing it with state-of-the-art intensity-based approaches on both synthetic and real biological images.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available