The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Gabor filters as texture discriminator
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
Textons, the elements of texture perception, and their interactions
Julesz, B. (1981) · Nature · doi:10.1038/290091a0 · Cited by 1,703 · cited 2×
“Psychophysical experiments (Beck 1972, 1983; Julesz 1975, 1981, 1986) have shown that texture discrimination in the preattentive mode depends mainly on some simple properties such as brightness, color, size and slope (of lines, blobs) of the basic texture elements that compose the picture.”
Cited by
Representing and Recognizing the Visual Appearance of Materials Using Three-Dimensional Textons
Leung, T., & Malik, J. (2001) · International Journal of Computer Vision · doi:10.1023/a:1011126920638 · Cited by 1,498
Thinking in Frequency: Face Forgery Detection by Mining Frequency-Aware Clues
Qian, Y., Yin, G., Sheng, L., Chen, Z., & Shao, J. (2020) · Lecture Notes in Computer Science · doi:10.1007/978-3-030-58610-2_6 · Cited by 1,058
Predicting cancer outcomes with radiomics and artificial intelligence in radiology
Bera, K., Braman, N., Gupta, A., Velcheti, V., & Madabhushi, A. (2022) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-021-00560-7 · Cited by 819
Khorrami, M., Prasanna, P., Gupta, A., Patil, P., Velu, P. D., Thawani, R., Corredor, G., Alilou, M., Bera, K., Fu, P., et al. (2020) · Cancer Immunology Research · doi:10.1158/2326-6066.cir-19-0476 · Cited by 297
Sarrafi, A., Mao, Z., Niezrecki, C., & Poozesh, P. (2018) · Journal of Sound and Vibration · doi:10.1016/j.jsv.2018.01.050 · Cited by 288
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
On the dissection of degenerate cosmologies with machine learning
Merten, J., Giocoli, C., Baldi, M., Meneghetti, M., Peel, A., Lalande, F., Starck, J.-L., & Pettorino, V. (2019) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stz972 · Cited by 45
Automatic identification of outliers in Hubble Space Telescope galaxy images
Shamir, L. (2021) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/staa4036 · Cited by 7
Metadata
- Authors
- Fogel, I., & Sagi, D.
- Venue
- Biological Cybernetics
- Published
- 1989-06
- Volume
- 61
- Issue
- 2
- Pages
- 103-113
- ISSN
- 0340-1200 (ISSN-L)
- 1432-0770
- OpenAlex
- W2063603851
- Cited by
- 742
- References
- 1
- FWCI
- 7.80
- 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
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.
