ndarray-image

This crate provides multidimensional image processing for [ndarray]'s ArrayBase type.

It aims to: - be a Rust replacement for [scipy.ndimage] with some other tools like [numpy.pad] and anything else relevant to image processing. We do not want all options offered by scipy. - be faster or as fast as scipy.ndimage. Most of it is cythonized so it's not easy as it seems. - avoid using unsafe. This is not a unbreakable rule. Its usage will be evaluated and dicussed in the pull requests.

Currently available routines include: - Filters: gaussianfilter, gaussianfilter1d, medianfilter - Fourier filters: none - Interpolation: splinefilter, splinefilter1d - Measurements: label, labelhistogram, largestconnectedcomponents, mostfrequentlabel - Morphology: binarydilation, binaryerosion - Padding: reflect, symmetric and wrap

This crate is a work-in-progress. Some functions are provided but they offer less options than SciPy. Some are offered only in 3D, with less boundary modes, with only 2 types of structuring element, only for binary data, only for f64, etc.

Using with Cargo

toml [dependencies] ndarray = "0.15" ndarray-image = "0.1"

Contributing

ndarray-image needs your help to grow. Please feel free to create issues and submit PRs. Since it is based on scipy.ndimage, it is easy to port new functions and tests.

License

Licensed under the Apache License, Version 2.0 http://www.apache.org/licenses/LICENSE-2.0 or the MIT license http://opensource.org/licenses/MIT, at your option. This file may not be copied, modified, or distributed except according to those terms.