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| author | Nicholas Leonard <nick@nikopia.org> | 2015-03-25 00:20:16 +0300 |
|---|---|---|
| committer | Nicholas Leonard <nick@nikopia.org> | 2015-03-25 00:20:16 +0300 |
| commit | 7a8f50f56dbe5ec311f768e51cb1e8af859bff1a (patch) | |
| tree | 63c30465c7ae980ff23effe0780e2afc5a5d6449 | |
| parent | 86052e497cfbc10e5d4cdec08bd308f30be37673 (diff) | |
fix typo
| -rw-r--r-- | README.md | 2 |
1 files changed, 1 insertions, 1 deletions
@@ -371,7 +371,7 @@ Returns the `fabio.jpg` image as a `257 x 271` Tensor. ### [res] image.gaussian([size, sigma, amplitude, normalize, [...]]) ### Returns a 2D [Gaussian](https://en.wikipedia.org/wiki/Gaussian_function) kernel of size `height x width`. When used as a Gaussian smoothing operator in a 2D -convolution, this kernel is used to `blur' images and remove detail and noise +convolution, this kernel is used to `blur` images and remove detail and noise (ref.: [Gaussian Smoothing](http://homepages.inf.ed.ac.uk/rbf/HIPR2/gsmooth.htm)). Optional arguments `[...]` expand to `width`, `height`, `sigma_horz`, `sigma_vert`, `mean_horz`, `mean_vert`. |