https://github.com/sun-data/ndfilters

Numba-accelerated, n-dimensional image filters.
https://github.com/sun-data/ndfilters

filters image-processing n-dimensional numba numpy scientific-computing scipy

Last synced: 6 days ago
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Numba-accelerated, n-dimensional image filters.

• Host: GitHub
• URL: https://github.com/sun-data/ndfilters
• Owner: sun-data
• Created: 2023-06-04T15:42:23.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-09-17T20:12:37.000Z (16 days ago)
• Last Synced: 2024-09-18T20:51:15.001Z (15 days ago)
• Topics: filters, image-processing, n-dimensional, numba, numpy, scientific-computing, scipy
• Language: Python
• Homepage: https://ndfilters.readthedocs.io
• Size: 146 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# ndfilters

[![tests](https://github.com/sun-data/ndfilters/actions/workflows/tests.yml/badge.svg)](https://github.com/sun-data/ndfilters/actions/workflows/tests.yml)

[![codecov](https://codecov.io/gh/sun-data/ndfilters/graph/badge.svg?token=BFTOVSyFtf)](https://codecov.io/gh/sun-data/ndfilters)

[![Black](https://github.com/sun-data/ndfilters/actions/workflows/black.yml/badge.svg)](https://github.com/sun-data/ndfilters/actions/workflows/black.yml)

[![Ruff](https://github.com/sun-data/ndfilters/actions/workflows/ruff.yml/badge.svg)](https://github.com/sun-data/ndfilters/actions/workflows/ruff.yml)

[![Documentation Status](https://readthedocs.org/projects/ndfilters/badge/?version=latest)](https://ndfilters.readthedocs.io/en/latest/?badge=latest)

[![PyPI version](https://badge.fury.io/py/ndfilters.svg)](https://badge.fury.io/py/ndfilters)

Similar to the filters in `scipy.ndimage` but accelerated and parallelized using 

[Numba](https://numba.readthedocs.io/en/stable/).

## Installation

`ndfilters` is published on PyPI and can be installed using `pip`.

```bash

pip install ndfilters

```

## Gallery

### Mean filter

The [mean filter](https://ndfilters.readthedocs.io/en/latest/_autosummary/ndfilters.mean_filter.html#ndfilters.mean_filter)

calculates a multidimensional rolling mean for the given kernel shape.

![mean filter](https://ndfilters.readthedocs.io/en/latest/_images/ndfilters.mean_filter_0_0.png)

### Trimmed mean filter

The  [trimmed mean filter](https://ndfilters.readthedocs.io/en/latest/_autosummary/ndfilters.trimmed_mean_filter.html#ndfilters.trimmed_mean_filter)

is like the mean filter except it ignores a given portion of the dataset before calculating the mean at each pixel.

![trimmed mean filter](https://ndfilters.readthedocs.io/en/latest/_images/ndfilters.trimmed_mean_filter_0_0.png)

### Variance filter

The [variance filter](https://ndfilters.readthedocs.io/en/latest/_autosummary/ndfilters.variance_filter.html#ndfilters.variance_filter)

calculates the rolling variance for the given kernel shape.

![variance filter](https://ndfilters.readthedocs.io/en/latest/_images/ndfilters.variance_filter_0_0.png)