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The image foresting transform: theory, algorithms, and applications
Abstract
The image foresting transform (IFT) is a graph-based approach to the design of image processing operators based on connectivity. It naturally leads to correct and efficient implementations and to a better understanding of how different operators relate to each other. We give here a precise definition of the IFT, and a procedure to compute it-a generalization of Dijkstra's algorithm-with a proof of correctness. We also discuss implementation issues and illustrate the use of the IFT in a few applications.
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Bellman, R. E. (2010) · doi:10.1515/9781400835386 · Cited by 14,588
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Supervised pattern classification based on optimum‐path forest
Papa, J. P., Falcão, A. X., & Suzuki, C. T. N. (2009) · International Journal of Imaging Systems and Technology · doi:10.1002/ima.20188 · Cited by 365
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Oropharyngeal dysphagia identification using wavelets and optimum path forest
Spadotto, A. A., Pereira, J. C., Guido, R. C., Papa, J. P., Falcao, A. X., Gatto, A. R., Cola, P. C., & Schelp, A. O. (2008) · 2008 3rd International Symposium on Communications, Control and Signal Processing · doi:10.1109/isccsp.2008.4537320 · Cited by 12
Diniz, W. F. S., Fremont, V., Fantoni, I., & Nóbrega, E. G. O. (2017) · Microprocessors and Microsystems · doi:10.1016/j.micpro.2017.06.013 · Cited by 11
Metadata
- Authors
- Falcao, A. X., Stolfi, J., & de Alencar Lotufo, R.
- Venue
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Published
- 2004-01
- Volume
- 26
- Issue
- 1
- Pages
- 19-29
- ISSN
- 0162-8828 (ISSN-L)
- OpenAlex
- W2115284428
- Cited by
- 614
- References
- 1
- FWCI
- 16.30
- Type
- journal article
- Language
- en
- Open access
- closed
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- Falcao, A. X., Stolfi, J., & de Alencar Lotufo, R. (2004). The image foresting transform: theory, algorithms, and applications. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/tpami.2004.1261076
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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