The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Efficient Gabor filter design for texture segmentation
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
High confidence visual recognition of persons by a test of statistical independence
Daugman, J. G. (1993) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.244676 · Cited by 3,252
Daugman, J. G. (1985) · Journal of the Optical Society of America A · doi:10.1364/josaa.2.001160 · Cited by 3,219
Textures: A Photographic Album for Artists and Designers
Hersey, I., & Brodatz, P. (1968) · Leonardo · doi:10.2307/1571915 · Cited by 2,626
Unsupervised texture segmentation using Gabor filters
Jain, A. K., & Farrokhnia, F. (1991) · Pattern Recognition · doi:10.1016/0031-3203(91)90143-s · Cited by 2,182
Complete discrete 2-D Gabor transforms by neural networks for image analysis and compression
Daugman, J. G. (1988) · IEEE Transactions on Acoustics, Speech, and Signal Processing · doi:10.1109/29.1644 · Cited by 1,810
Multichannel texture analysis using localized spatial filters
Bovik, A. C., Clark, M., & Geisler, W. S. (1990) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.41384 · Cited by 1,382
Brownrigg, D. R. K. (1992) · Computer Physics Communications · doi:10.1016/0010-4655(92)90019-u · Cited by 920
The generalized Gabor scheme of image representation in biological and machine vision
Porat, M., & Zeevi, Y. Y. (1988) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.3910 · Cited by 447
Gabor filter-based edge detection
Mehrotra, R., Namuduri, K. R., & Ranganathan, N. (1992) · Pattern Recognition · doi:10.1016/0031-3203(92)90121-x · Cited by 444
Optimal Gabor filters for texture segmentation
Dunn, D., & Higgins, W. E. (1995) · IEEE Transactions on Image Processing · doi:10.1109/83.392336 · Cited by 438
Self-citation
Cited by
A review on Gabor wavelets for face recognition
Shen, L., & Bai, L. (2006) · Pattern Analysis and Applications · doi:10.1007/s10044-006-0033-y · Cited by 462
Ship Detection in Spaceborne Optical Image With SVD Networks
Zou, Z., & Shi, Z. (2016) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2016.2572736 · Cited by 257
Optimal Gabor filters for textile flaw detection
Bodnarova, A., Bennamoun, M., & Latham, S. (2002) · Pattern Recognition · doi:10.1016/s0031-3203(02)00017-1 · Cited by 175
A fast regularity measure for surface defect detection
Tsai, D.-M., Chen, M.-C., Li, W.-C., & Chiu, W.-Y. (2012) · Machine Vision and Applications · doi:10.1007/s00138-011-0403-3 · Cited by 70
Automated surface inspection for steel products using computer vision approach
Xi, J., Shentu, L., Hu, J., & Li, M. (2017) · Applied Optics · doi:10.1364/ao.56.000184 · Cited by 40
Metadata
- Authors
- Weldon, T. P., Higgins, W. E., & Dunn, D. F.
- Venue
- Pattern Recognition
- Publisher
- Elsevier BV
- Published
- 1996-12
- Volume
- 29
- Issue
- 12
- Pages
- 2005-2015
- ISSN
- 0031-3203 (ISSN-L)
- OpenAlex
- W2098684142
- Cited by
- 313
- References
- 19
- FWCI
- 2.68
- 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: Efficient Gabor filter design for texture segmentation. https://app.cochat.ai/papers/10.1016/s0031-3203(96)00047-7
- The paper
- Weldon, T. P., Higgins, W. E., & Dunn, D. F. (1996). Efficient Gabor filter design for texture segmentation. Pattern Recognition. https://doi.org/10.1016/s0031-3203(96)00047-7
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.
