The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Texture segmentation using Voronoi polygons
Abstract
Textures are defined in terms of primitives called tokens. A texture segmentation algorithm based on the Voronoi tessellation is discussed. The algorithm first builds the Voronoi tessellation of the tokens that make up the textured image. It then computes a feature vector for each Voronoi polygon. These feature vectors are used in a probabilistic relaxation labeling on the tokens, to identify the interior and the border regions of the textures. Some experimental results are shown.>
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 by
Li, M., Zang, S., Zhang, B., Li, S., & Wu, C. (2014) · European Journal of Remote Sensing · doi:10.5721/eujrs20144723 · Cited by 538
Image Segmentation Using Active Contours Driven by the Bhattacharyya Gradient Flow
Michailovich, O., Rathi, Y., & Tannenbaum, A. (2007) · IEEE Transactions on Image Processing · doi:10.1109/tip.2007.908073 · Cited by 320
Metadata
- Authors
- Tuceryan, M., & Jain, A. K.
- Venue
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Published
- 1990
- Volume
- 12
- Issue
- 2
- Pages
- 211-216
- ISSN
- 0162-8828 (ISSN-L)
- OpenAlex
- W2733049177
- Cited by
- 202
- References
- 1
- FWCI
- 4.19
- 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: Texture segmentation using Voronoi polygons. https://app.cochat.ai/papers/10.1109/34.44407
- The paper
- Tuceryan, M., & Jain, A. K. (1990). Texture segmentation using Voronoi polygons. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/34.44407
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.
