The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Study and evaluation of different Fourier methods for image retrieval
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Citations
Cites
When Is ''Nearest Neighbor'' Meaningful?
Beyer, K., Goldstein, J., Ramakrishnan, R., & Shaft, U. (1999) · Lecture Notes in Computer Science · doi:10.1007/3-540-49257-7_15 · Cited by 2,403
Cited by
Extended Object Tracking with Random Hypersurface Models
Baum, M., & Hanebeck, U. D. (2014) · IEEE Transactions on Aerospace and Electronic Systems · doi:10.1109/taes.2013.120107 · Cited by 272
Shape-based retrieval of industrial surface defects using angular radius Fourier descriptor
Kunttu, I., & Lepistö, L. (2007) · IET Image Processing · doi:10.1049/iet-ipr:20060113 · Cited by 34
Metadata
- Authors
- Zhang, D., & Lu, G.
- Venue
- Image and Vision Computing
- Publisher
- Elsevier BV
- Published
- 2005-01
- Volume
- 23
- Issue
- 1
- Pages
- 33-49
- ISSN
- 0262-8856 (ISSN-L)
- OpenAlex
- W2004084358
- Cited by
- 234
- References
- 1
- FWCI
- 9.85
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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- CoChat. (2026). Citation check: Study and evaluation of different Fourier methods for image retrieval. https://app.cochat.ai/papers/10.1016/j.imavis.2004.09.001
- The paper
- Zhang, D., & Lu, G. (2005). Study and evaluation of different Fourier methods for image retrieval. Image and Vision Computing. https://doi.org/10.1016/j.imavis.2004.09.001
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.
