scikit-image is an image processing library that implements algorithms and utilities for use in research, education and industry applications.
This is a Python package dedicated to image processing, and using natively NumPy arrays as image objects.
It is released under the liberal Modified BSD open source license, provides a well-documented API in the Python programming language, and is developed by an active, international team of collaborators.
Key Features
- Different kinds of functions, from boilerplate utility functions to high-level recent algorithms.
- Filters: functions transforming images into other images:
- NumPy machinery.
- Common filtering algorithms.
- Data reduction functions: computation of image histogram, position of local maxima, of corners, etc.
- Other actions: I/O, visualization, etc.
- Filters: functions transforming images into other images:
Website: scikit-image.org
Support: GitHub Code Repository
Developer: the scikit-image team
License: BSD-3-Clause
scikit-image is written in Python. Learn Python with our recommended free books and free tutorials.
Related Software
| Image Processing Libraries | |
|---|---|
| matplotlib | Python 2D plotting library |
| OpenCV | Library that includes several hundreds of computer vision algorithms |
| VIPS | Fast image processing library with low memory requirements |
| SciPy | Scientific Computing Tools for Python |
| Pillow | Fork of the Python Imaging Library |
| Pillow-SIMD | Highly optimized downstream Pillow fork |
| scikit-image | Collection of algorithms for image processing |
| ImageMagick | Uses multiple computational threads to increase performance |
| GraphicsMagick | Billed as the Swiss army knife of image processing. |
| GEGL | Generic Graphics Library |
| Mahotas | Library of fast computer vision algorithms |
| SimpleITK | Image analysis toolkit with a large number of components |
| Netpbm | Toolkit for manipulation of graphic images |
| LibGD | Library for the dynamic creation of images by developers |
Read our verdict in the software roundup.
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