The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.
Cuckoo search algorithm and wind driven optimization based study of satellite image segmentation for multilevel thresholding using Kapur’s entropy
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Cites
Kennedy, J., & Eberhart, R. (2002) · Proceedings of ICNN'95 - International Conference on Neural Networks · doi:10.1109/icnn.1995.488968 · Cited by 58,192
Image quality assessment: from error visibility to structural similarity
Wang, Z., Bovik, A. C., Sheikh, H. R., & Simoncelli, E. P. (2004) · IEEE Transactions on Image Processing · doi:10.1109/tip.2003.819861 · Cited by 57,892
A Threshold Selection Method from Gray-Level Histograms
Otsu, N. (1979) · IEEE Transactions on Systems, Man, and Cybernetics · doi:10.1109/tsmc.1979.4310076 · Cited by 43,398
Cuckoo Search via Lévy flights
Yang, X.-S., & Deb, S. (2009) · 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC) · doi:10.1109/nabic.2009.5393690 · Cited by 6,185
FSIM: A Feature Similarity Index for Image Quality Assessment
Zhang, L., Zhang, L., Mou, X., & Zhang, D. (2011) · IEEE Transactions on Image Processing · doi:10.1109/tip.2011.2109730 · Cited by 5,203
Survey over image thresholding techniques and quantitative performance evaluation
Sankur, B. (2004) · Journal of Electronic Imaging · doi:10.1117/1.1631315 · Cited by 4,583
Nature-Inspired Metaheuristic Algorithms
Yang, X. (2008) · Medical Entomology and Zoology · Cited by 4,556
Particle swarm optimization: developments, applications and resources
Eberhart, & Shi, Y. (2001) · Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546) · doi:10.1109/cec.2001.934374 · Cited by 4,310
Haupt, R. L., & Haupt, S. E. (2003) · Wiley eBooks · doi:10.1002/0471671746 · Cited by 4,246
A new method for gray-level picture thresholding using the entropy of the histogram
Kapur, J. N., Sahoo, P. K., & Wong, A. K. C. (1985) · Computer Vision, Graphics, and Image Processing · doi:10.1016/0734-189x(85)90125-2 · Cited by 3,658
Cited by
Bio inspired computing – A review of algorithms and scope of applications
Kar, A. K. (2016) · Expert Systems with Applications · doi:10.1016/j.eswa.2016.04.018 · Cited by 578
Aziz, M. A. E., Ewees, A. A., & Hassanien, A. E. (2017) · Expert Systems with Applications · doi:10.1016/j.eswa.2017.04.023 · Cited by 560
Metadata
- Authors
- Bhandari, A. K., Singh, V. K., Kumar, A., & Singh, G. K.
- Venue
- Expert Systems with Applications
- Publisher
- Elsevier BV
- Published
- 2014-06
- Volume
- 41
- Issue
- 7
- Pages
- 3538-3560
- ISSN
- 0957-4174 (ISSN-L)
- OpenAlex
- W2120627761
- Cited by
- 447
- References
- 44
- FWCI
- 32.39
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Cuckoo search algorithm and wind driven optimization based study of satellite image segmentation for multilevel thresholding using Kapur’s entropy. https://app.cochat.ai/papers/10.1016/j.eswa.2013.10.059
- The paper
- Bhandari, A. K., Singh, V. K., Kumar, A., & Singh, G. K. (2014). Cuckoo search algorithm and wind driven optimization based study of satellite image segmentation for multilevel thresholding using Kapur’s entropy. Expert Systems with Applications. https://doi.org/10.1016/j.eswa.2013.10.059
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
