The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
CrackTree: Automatic crack detection from pavement images
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Multiresolution gray-scale and rotation invariant texture classification with local binary patterns
Ojala, T., Pietikainen, M., & Maenpaa, T. (2002) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2002.1017623 · Cited by 15,398
Cited by
Koch, C., Georgieva, K., Kasireddy, V., Akinci, B., & Fieguth, P. (2015) · Advanced Engineering Informatics · doi:10.1016/j.aei.2015.01.008 · Cited by 1,065
Zakeri, H., Nejad, F. M., & Fahimifar, A. (2017) · Archives of Computational Methods in Engineering · doi:10.1007/s11831-016-9194-z · Cited by 304
Deep Learning in Data-Driven Pavement Image Analysis and Automated Distress Detection: A Review
Gopalakrishnan, K. (2018) · Data · doi:10.3390/data3030028 · Cited by 210
Iterative Tensor Voting for Pavement Crack Extraction Using Mobile Laser Scanning Data
Guan, H., Li, J., Yu, Y., Chapman, M., Wang, H., Wang, C., & Zhai, R. (2015) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2014.2344714 · Cited by 112
Taheri, A., & Sobanjo, J. (2024) · Infrastructures · doi:10.3390/infrastructures9060090 · Cited by 17
Metadata
- Authors
- Zou, Q., Cao, Y., Li, Q., Mao, Q., & Wang, S.
- Venue
- Pattern Recognition Letters
- Publisher
- Elsevier BV
- Published
- 2012-02
- Volume
- 33
- Issue
- 3
- Pages
- 227-238
- ISSN
- 0167-8655 (ISSN-L)
- OpenAlex
- W2144801789
- Cited by
- 1,124
- References
- 1
- FWCI
- 28.66
- Type
- journal article
- Language
- en
- Open access
- closed
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.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: CrackTree: Automatic crack detection from pavement images. https://app.cochat.ai/papers/10.1016/j.patrec.2011.11.004
- The paper
- Zou, Q., Cao, Y., Li, Q., Mao, Q., & Wang, S. (2012). CrackTree: Automatic crack detection from pavement images. Pattern Recognition Letters. https://doi.org/10.1016/j.patrec.2011.11.004
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.
