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Digital Image Processing
Abstract
Avoiding heavy mathematics and lengthy programming details, Digital Image Processing: An Algorithmic Approach with MATLAB presents an easy methodology for learning the fundamentals of image processing. The book applies the algorithms using MATLAB, without bogging down students with syntactical and debugging issues.One chapter can typically be compl
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Citations
Cited by
Historical review of OCR research and development
Mori, S., Suen, C. Y., & Yamamoto, K. (1992) · Proceedings of the IEEE · doi:10.1109/5.156468 · Cited by 892
50 Years of CORDIC: Algorithms, Architectures, and Applications
Meher, P. K., Valls, J., Juang, T.-B., Sridharan, K., & Maharatna, K. (2009) · IEEE Transactions on Circuits and Systems I: Regular Papers · doi:10.1109/tcsi.2009.2025803 · Cited by 580
Galavis, P. E., Hollensen, C., Jallow, N., Paliwal, B., & Jeraj, R. (2010) · Acta Oncologica · doi:10.3109/0284186x.2010.498437 · Cited by 344
Quantum-Dot Cellular Automata: Theory and Application
Qadir, F., Ahmad, P. Z., Wani, S. J., & Peer, M. A. (2013) · 2013 International Conference on Machine Intelligence and Research Advancement · doi:10.1109/icmira.2013.113 · Cited by 13
Spatio-temporal digital video hashing using edge orientation histogram and discrete cosine transform
Setyawan, I., & Timotius, I. K. (2014) · 2014 International Conference on Information Technology Systems and Innovation (ICITSI) · doi:10.1109/icitsi.2014.7048247 · Cited by 10
Metadata
- Authors
- Qidwai, U., & Chen, C. H.
- Venue
- Chapman & Hall/CRC eBooks
- Publisher
- Chapman and Hall/CRC
- Published
- 2009-10-15
- OpenAlex
- W4206519171
- Cited by
- 1,701
- References
- 0
- FWCI
- 35.00
- Type
- book
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Digital Image Processing. https://app.cochat.ai/papers/10.1201/9781420079517
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- Qidwai, U., & Chen, C. H. (2009). Digital Image Processing. Chapman & Hall/CRC eBooks. https://doi.org/10.1201/9781420079517
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.
