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Texture information in run-length matrices
Abstract
We use a multilevel dominant eigenvector estimation algorithm to develop a new run-length texture feature extraction algorithm that preserves much of the texture information in run-length matrices and significantly improves image classification accuracy over traditional run-length techniques. The advantage of this approach is demonstrated experimentally by the classification of two texture data sets. Comparisons with other methods demonstrate that the run-length matrices contain great discriminatory information and that a good method of extracting such information is of paramount importance to successful classification.
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Cited by
Bakas, S., Akbari, H., Sotiras, A., Bilello, M., Rozycki, M., Kirby, J. S., Freymann, J. B., Farahani, K., & Davatzikos, C. (2017) · Scientific Data · doi:10.1038/sdata.2017.117 · Cited by 3,049
Radiomics: the process and the challenges
Kumar, V., Gu, Y., Basu, S., Berglund, A., Eschrich, S. A., Schabath, M. B., Forster, K., Aerts, H. J. W. L., Dekker, A., Fenstermacher, D., et al. (2012) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2012.06.010 · Cited by 2,258
“Second-order statistics or co-occurrence matrix features can be used for texture classification [64–66] and are widely applied in medical pattern recognition tasks [67–71].”
MethodGalavis, P. E., Hollensen, C., Jallow, N., Paliwal, B., & Jeraj, R. (2010) · Acta Oncologica · doi:10.3109/0284186x.2010.498437 · Cited by 344
Papadimitroulas, P., Brocki, L., Christopher Chung, N., Marchadour, W., Vermet, F., Gaubert, L., Eleftheriadis, V., Plachouris, D., Visvikis, D., Kagadis, G. C., et al. (2021) · Physica Medica · doi:10.1016/j.ejmp.2021.03.009 · Cited by 226
Davatzikos, C., Rathore, S., Bakas, S., Pati, S., Bergman, M., Kalarot, R., Sridharan, P., Gastounioti, A., Jahani, N., Cohen, E., et al. (2018) · Journal of Medical Imaging · doi:10.1117/1.jmi.5.1.011018 · Cited by 204
Metadata
- Authors
- Tang, X.
- Venue
- IEEE Transactions on Image Processing
- Published
- 1998-11
- Volume
- 7
- Issue
- 11
- Pages
- 1602-1609
- ISSN
- 1057-7149 (ISSN-L)
- 1941-0042
- OpenAlex
- W2144854846
- Cited by
- 654
- References
- 0
- FWCI
- 1.55
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Texture information in run-length matrices. https://app.cochat.ai/papers/10.1109/83.725367
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- Tang, X. (1998). Texture information in run-length matrices. IEEE Transactions on Image Processing. https://doi.org/10.1109/83.725367
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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.
