The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
An unbiased detector of curvilinear structures
Abstract
The extraction of curvilinear structures is an important low-level operation in computer vision that has many applications. Most existing operators use a simple model for the line that is to be extracted, i.e., they do not take into account the surroundings of a line. This leads to the undesired consequence that the line will be extracted in the wrong position whenever a line with different lateral contrast is extracted. In contrast, the algorithm proposed in this paper uses an explicit model for lines and their surroundings. By analyzing the scale-space behavior of a model line profile, it is shown how the bias that is induced by asymmetrical lines can be removed. Furthermore, the algorithm not only returns the precise subpixel line position, but also the width of the line for each line point, also with subpixel accuracy.
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Citations
Cites
A Computational Approach to Edge Detection
Canny, J. (1986) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.1986.4767851 · Cited by 30,004
Cited by
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Geusebroek, J., Smeulders, A. W. M., & van de Weijer, J. (2003) · IEEE Transactions on Image Processing · doi:10.1109/tip.2003.812429 · Cited by 331
Kommaddi, R. P., Das, D., Karunakaran, S., Nanguneri, S., Bapat, D., Ray, A., Shaw, E., Bennett, D. A., Nair, D., & Ravindranath, V. (2018) · The Journal of Neuroscience · doi:10.1523/jneurosci.2127-17.2017 · Cited by 135
Modeling alcohol-associated liver disease in a human Liver-Chip
Nawroth, J. C., Petropolis, D. B., Manatakis, D. V., Maulana, T. I., Burchett, G., Schlünder, K., Witt, A., Shukla, A., Kodella, K., Ronxhi, J., et al. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.109393 · Cited by 88
Miao, Y., Zakharov, Y. V., Sun, H., Li, J., & Wang, J. (2021) · IEEE Journal of Oceanic Engineering · doi:10.1109/joe.2020.3039037 · Cited by 77
Quantitative mapping of dense microtubule arrays in mammalian neurons
Katrukha, E. A., Jurriens, D., Salas Pastene, D. M., & Kapitein, L. C. (2021) · eLife · doi:10.7554/elife.67925 · Cited by 74
Metadata
- Authors
- Steger, C.
- Venue
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Published
- 1998
- Volume
- 20
- Issue
- 2
- Pages
- 113-125
- ISSN
- 0162-8828 (ISSN-L)
- OpenAlex
- W2156155065
- Cited by
- 1,392
- References
- 1
- FWCI
- 23.23
- Type
- journal article
- Language
- en
- Open access
- closed
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- Steger, C. (1998). An unbiased detector of curvilinear structures. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/34.659930
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
