scipyndimage

scipyndimage is an open-source Python library that provides a collection of image-processing routines for N-dimensional arrays, drawing on concepts from the SciPy ndimage module. The project is intended to support NumPy-first workflows, offering image-processing functionality without requiring a specific proprietary toolchain.

Core capabilities typically include multi-dimensional filtering (smoothing and related operations), morphology operations such as dilation and erosion, and basic image analysis tasks. Many implementations also cover labeling of connected components and simple region-based measurements, along with interpolation or resampling utilities. The emphasis is generally on vectorized operations that operate directly on NumPy arrays, with attention to portability across platforms and Python versions.

Usage of scipyndimage follows a typical array-centric workflow: an image or volume is loaded into a NumPy array, and a sequence of processing steps is applied to produce a transformed array or to extract quantitative features. The library is commonly used in scientific image analysis domains such as microscopy, materials science, and remote sensing, where reproducible, transparent processing pipelines are important.

Development and licensing information for scipyndimage is typically provided in its public repository and accompanying documentation. As an open-source project, contributions come from a community of developers, and the project is distributed under an open-source license that allows use, modification, and redistribution in many contexts.

See also: SciPy ndimage, scikit-image, NumPy.