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| 1 | +# TextureFeatures |
| 2 | + |
| 3 | +In-tree ITK module providing N-dimensional textural feature image |
| 4 | +filters. The flagship classes compute first-order, run-length, and |
| 5 | +co-occurrence (GLCM) texture features over a sliding window for each |
| 6 | +voxel of an input image, producing per-feature output maps suitable |
| 7 | +for radiomics and computer-vision pipelines. |
| 8 | + |
| 9 | +The flagship filters are |
| 10 | +`itk::CoocurrenceTextureFeaturesImageFilter`, |
| 11 | +`itk::FirstOrderTextureFeaturesImageFilter`, and |
| 12 | +`itk::RunLengthTextureFeaturesImageFilter`, with supporting |
| 13 | +`itk::DigitizerFunctor` and `itk::FirstOrderTextureHistogram` building |
| 14 | +blocks. |
| 15 | + |
| 16 | +## Origin |
| 17 | + |
| 18 | +Ingested from the standalone remote module |
| 19 | +[**InsightSoftwareConsortium/ITKTextureFeatures**](https://github.com/InsightSoftwareConsortium/ITKTextureFeatures) |
| 20 | +on 2026-05-08, following the v4 ingestion guidelines defined in |
| 21 | +InsightSoftwareConsortium/ITK#6204. The upstream repository will be |
| 22 | +archived read-only after this PR merges; it remains reachable at the |
| 23 | +URL above for historical reference (notably the `doc/` and `example/` |
| 24 | +directories, which were intentionally left in the upstream archive). |
| 25 | + |
| 26 | +## References |
| 27 | + |
| 28 | +- Vimort J., McCormick M., Budin F., Paniagua B. |
| 29 | + *Computing Textural Feature Maps for N-Dimensional images.* |
| 30 | + The Insight Journal. January-December. 2017. |
| 31 | + <https://doi.org/10.54294/qy48ty> |
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