The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Detection of blood vessels in retinal images using two-dimensional matched filters
Abstract
Blood vessels usually have poor local contrast, and the application of existing edge detection algorithms yield results which are not satisfactory. An operator for feature extraction based on the optical and spatial properties of objects to be recognized is introduced. The gray-level profile of the cross section of a blood vessel is approximated by a Gaussian-shaped curve. The concept of matched filter detection of signals is used to detect piecewise linear segments of blood vessels in these images. Twelve different templates that are used to search for vessel segments along all possible directions are constructed. Various issues related to the implementation of these matched filters are discussed. The results are compared to those obtained with other methods.
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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
Marr, D., & Hildreth, E. (1980) · Proceedings of the Royal Society of London. Series B. Biological Sciences · doi:10.1098/rspb.1980.0020 · Cited by 6,510
Cited by
Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning
Kermany, D. S., Goldbaum, M., Cai, W., Valentim, C. C. S., Liang, H., Baxter, S. L., McKeown, A., Yang, G., Wu, X., Yan, F., et al. (2018) · Cell · doi:10.1016/j.cell.2018.02.010 · Cited by 4,842
Self-citationRidge-based vessel segmentation in color images of the retina
Staal, J., Abramoff, M. D., Niemeijer, M., Viergever, M. A., & van Ginneken, B. (2004) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2004.825627 · Cited by 4,202
Zhao, Y., Rada, L., Chen, K., Harding, S. P., & Zheng, Y. (2015) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2015.2409024 · Cited by 391
A fuzzy vessel tracking algorithm for retinal images based on fuzzy clustering
Tolias, Y. A., & Panas, S. M. (1998) · IEEE Transactions on Medical Imaging · doi:10.1109/42.700738 · Cited by 365
Christopher, M., Belghith, A., Bowd, C., Proudfoot, J. A., Goldbaum, M. H., Weinreb, R. N., Girkin, C. A., Liebmann, J. M., & Zangwill, L. M. (2018) · Scientific Reports · doi:10.1038/s41598-018-35044-9 · Cited by 328
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Metadata
- Authors
- Chaudhuri, S., Chatterjee, S., Katz, N., Nelson, M., & Goldbaum, M.
- Venue
- IEEE Transactions on Medical Imaging
- Published
- 1989
- Volume
- 8
- Issue
- 3
- Pages
- 263-269
- ISSN
- 0278-0062 (ISSN-L)
- OpenAlex
- W2166524747
- Cited by
- 1,668
- References
- 2
- FWCI
- 2.76
- Type
- journal article
- Language
- en
- Open access
- closed
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- Chaudhuri, S., Chatterjee, S., Katz, N., Nelson, M., & Goldbaum, M. (1989). Detection of blood vessels in retinal images using two-dimensional matched filters. IEEE Transactions on Medical Imaging. https://doi.org/10.1109/42.34715
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