The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Statistical texture characterization from discrete wavelet representations
Abstract
We conjecture that texture can be characterized by the statistics of the wavelet detail coefficients and therefore introduce two feature sets: (1) the wavelet histogram signatures which capture all first order statistics using a model based approach and (2) the wavelet co-occurrence signatures, which reflect the coefficients' second-order statistics. The introduced feature sets outperform the traditionally used energy. Best performance is achieved by combining histogram and co-occurrence signatures.
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Cites
Textural Features for Image Classification
Haralick, R. M., Shanmugam, K., & Dinstein, I. (1973) · IEEE Transactions on Systems, Man, and Cybernetics · doi:10.1109/tsmc.1973.4309314 · Cited by 22,886
Daubechies, I. (1992) · doi:10.1137/1.9781611970104 · Cited by 15,979
Cited by
Texture classification using wavelet transform
Arivazhagan, S., & Ganesan, L. (2003) · Pattern Recognition Letters · doi:10.1016/s0167-8655(02)00390-2 · Cited by 506
Bigorra, L., Merino, A., Alférez, S., & Rodellar, J. (2017) · Journal of Clinical Laboratory Analysis · doi:10.1002/jcla.22024 · Cited by 53
Qiu, J.-J., Yin, J., Qian, W., Liu, J.-H., Huang, Z.-X., Yu, H.-P., Ji, L., & Zeng, X.-X. (2021) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2020.3021254 · Cited by 36
Metadata
- Authors
- Van de Wouwer, G., Scheunders, P., & Van Dyck, D.
- Venue
- IEEE Transactions on Image Processing
- Published
- 1999-04
- Volume
- 8
- Issue
- 4
- Pages
- 592-598
- ISSN
- 1057-7149 (ISSN-L)
- OpenAlex
- W2152690055
- Cited by
- 563
- References
- 2
- FWCI
- 8.56
- Type
- journal article
- Language
- en
- Open access
- closed
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- Van de Wouwer, G., Scheunders, P., & Van Dyck, D. (1999). Statistical texture characterization from discrete wavelet representations. IEEE Transactions on Image Processing. https://doi.org/10.1109/83.753747
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