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ulises-jeremias merged 1 commit into from
Oct 14, 2026
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docs: track multidimensional image processing gap #586

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1 change: 1 addition & 0 deletions docs/ML_ROADMAP.md
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Expand Up @@ -84,6 +84,7 @@ follow-ups. The repository issue list is the source for live status.
- [#572](https://github.com/vlang/vsl/issues/572) inferential tests and confidence intervals
- [#576](https://github.com/vlang/vsl/issues/576) non-finite sample policies
- [#580](https://github.com/vlang/vsl/issues/580) model persistence and portable export
- [#585](https://github.com/vlang/vsl/issues/585) multidimensional image filters and morphology (SciPy `ndimage`)
- [#560](https://github.com/vlang/vsl/issues/560) signal processing and wavelet APIs
- [#564](https://github.com/vlang/vsl/issues/564) numerical differentiation
coverage: Jacobian estimates are implemented; second derivatives and
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11 changes: 11 additions & 0 deletions docs/SCIPY_GSL_PARITY.md
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Expand Up @@ -35,6 +35,7 @@ API. Recheck upstream documentation when updating this tracker.
| Quadrature and ODE solvers | Missing | — | #521 |
| Fourier transforms | Partial | [fft][vsl-fft] | #527, #528 |
| Signal processing and wavelets | Missing | [fft][vsl-fft] only | #560 |
| Multidimensional image processing and morphology | Missing | — | #585 |
| ML | Partial | [ml][vsl-ml], [prep][vsl-preprocessing], [selection][vsl-model-selection], [metrics][vsl-metrics] | #514–#519, #529, #530 |
| Plotting and visualization | Partial | [plot][vsl-plot] | #545 |
| Device selection and accelerator backends | Partial | [compute][vsl-compute], [CUDA][vsl-cuda], [VCL][vsl-vcl], [Vulkan][vsl-vulkan] | #525–#528 |
Expand Down Expand Up @@ -103,6 +104,15 @@ See SciPy [`fft`][scipy-fft] and [`signal`][scipy-signal], and GSL [`FFT`][gsl-f
and [`wavelets`][gsl-wavelet]. Follow-ups: [#527](https://github.com/vlang/vsl/issues/527),
[#528](https://github.com/vlang/vsl/issues/528), and [#560](https://github.com/vlang/vsl/issues/560).

### Multidimensional image processing

No comparable public API for neighborhood filters, image gradients, connected
components, or binary morphology was found. These N-dimensional operations are
distinct from the time-series filters, windows, convolution, and wavelets in
the signal-processing scope. SciPy's [`ndimage`][scipy-ndimage] is the
reference; VSL tracks the portable API and differential coverage in
[#585](https://github.com/vlang/vsl/issues/585).

### Machine learning, plotting, and backends

VSL has selected ML estimators and workflows; its coverage is much smaller than
Expand Down Expand Up @@ -133,6 +143,7 @@ including second derivatives and boundary-aware methods, is tracked in
[scipy-integrate]: https://docs.scipy.org/doc/scipy-1.18.0/reference/integrate.html
[scipy-fft]: https://docs.scipy.org/doc/scipy-1.18.0/reference/fft.html
[scipy-signal]: https://docs.scipy.org/doc/scipy-1.18.0/reference/signal.html
[scipy-ndimage]: https://docs.scipy.org/doc/scipy-1.18.0/reference/ndimage.html
[scipy-differentiate]: https://docs.scipy.org/doc/scipy-1.18.0/reference/differentiate.html
[gsl-blas]: https://www.gnu.org/software/gsl/doc/html/blas.html
[gsl-linalg]: https://www.gnu.org/software/gsl/doc/html/linalg.html
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