The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Thinning methodologies-a comprehensive survey
Abstract
A comprehensive survey of thinning methodologies is presented. A wide range of thinning algorithms, including iterative deletion of pixels and nonpixel-based methods, is covered. Skeletonization algorithms based on medial axis and other distance transforms are not considered. An overview of the iterative thinning process and the pixel-deletion criteria needed to preserve the connectivity of the image pattern is given first. Thinning algorithms are then considered in terms of these criteria and their modes of operation. Nonpixel-based methods that usually produce a center line of the pattern directly in one pass without examining all the individual pixels are discussed. The algorithms are considered in great detail and scope, and the relationships among them are explored.>
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Cites
Handwritten digit recognition: applications of neural network chips and automatic learning
Le Cun, Y., Jackel, L. D., Boser, B., Denker, J. S., Graf, H. P., Guyon, I., Henderson, D., Howard, R. E., & Hubbard, W. (1989) · IEEE Communications Magazine · doi:10.1109/35.41400 · Cited by 480
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Human-level concept learning through probabilistic program induction
Lake, B. M., Salakhutdinov, R., & Tenenbaum, J. B. (2015) · Science · doi:10.1126/science.aab3050 · Cited by 2,817
Analysis of vasculature for liver surgical planning
Selle, D., Preim, B., Schenk, A., & Peitgen, H.-O. (2002) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2002.801166 · Cited by 448
A Three-Stage Deep Learning Model for Accurate Retinal Vessel Segmentation
Yan, Z., Yang, X., & Cheng, K.-T. (2019) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2018.2872813 · Cited by 341
An overview of steganography techniques applied to the protection of biometric data
Douglas, M., Bailey, K., Leeney, M., & Curran, K. (2018) · Multimedia Tools and Applications · doi:10.1007/s11042-017-5308-3 · Cited by 122
Zhang, K., Yan, M., Huang, T., Zheng, J., & Li, Z. (2019) · Journal of Manufacturing Processes · doi:10.1016/j.jmapro.2019.02.010 · Cited by 111
Metadata
- Authors
- Lam, L., Lee, S.-W., & Suen, C. Y.
- Venue
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Published
- 1992
- Volume
- 14
- Issue
- 9
- Pages
- 869-885
- ISSN
- 0162-8828 (ISSN-L)
- OpenAlex
- W2158008371
- Cited by
- 1,785
- References
- 1
- FWCI
- 20.43
- Type
- journal article
- Language
- en
- Open access
- closed
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- Lam, L., Lee, S.-W., & Suen, C. Y. (1992). Thinning methodologies-a comprehensive survey. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/34.161346
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