• scikit-image is a collection of algorithms for image processing. It is available free of charge and free of restriction.
  • The most popular image processing libraries used are: OpenCV, Python Imaging Library (PIL)/Pillow, Scikit-image, Numpy, Mahotas.
  • The scikit-image library is an image processing library written in Python, commonly used as part of the PyData stack (NumPy, SciPy, pandas, matplotlib, et al.).
  • ...Joshua D. Warner, Neil Yager, Emmanuelle Gouillart, Tony Yu, and the scikit-image contributors. scikit-image: Image processing in Python.
    • Version:
      0.24.0 · 18 June 2024
    • License:
      BSD-3-Clause Files: doc/source/themes/...)
    pip install scikit-image
  • scikit-image is a collection of algorithms for image processing. It is available free of charge and free of restriction.
  • Commencing our journey with scikit-image, the very first step is to import the package using skimage. Scikit contains a file with some preloaded images in them.
  • Scikit-Image lets us work with the bulk of images which is quite a common requirement for working with image classification or object detection in machine learning.
  • scikit-image is an image processing Python package that works with NumPy arrays which is a collection of algorithms for image processing.
  • This chapter describes how to use scikit-image for various image processing tasks, and how it relates to other scientific Python modules such as NumPy and SciPy.
  • Free. Windows, Mac OS. ••• scikit-image is a collection of algorithms for image processing. It is available free of charge and free of restriction.