The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Model driven edge detection
Open accessOverview
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Cites
Statistics
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Citations
Cites
A Computational Approach to Edge Detection
Canny, J. (1986) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.1986.4767851 · Cited by 30,004
Cited by
Finite-element methods for active contour models and balloons for 2-D and 3-D images
Cohen, L. D., & Cohen, I. (1993) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.244675 · Cited by 1,378
Metadata
- Authors
- Fua, P., & Leclerc, Y. G.
- Venue
- Machine Vision and Applications
- Published
- 1990-12
- Volume
- 3
- Issue
- 1
- Pages
- 45-56
- ISSN
- 0932-8092 (ISSN-L)
- 1432-1769
- OpenAlex
- W2103580031
- Cited by
- 178
- References
- 1
- FWCI
- 7.79
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Model driven edge detection. https://app.cochat.ai/papers/10.1007/bf01211451
- The paper
- Fua, P., & Leclerc, Y. G. (1990). Model driven edge detection. Machine Vision and Applications. https://doi.org/10.1007/bf01211451
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.
