scikit-image
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Description:
Image processing in Python
Type: Formula  |  Latest Version: 0.25.2@1  |  Tracked Since: Dec 20, 2025
Links: Homepage  |  @scikit_image  |  formulae.brew.sh
Category: Ai ml
Tags: image-processing computer-vision scientific python machine-learning
Install: brew install scikit-image
About:
scikit-image is a collection of algorithms for image processing built on top of SciPy. It provides a robust set of tools for segmentation, geometric transformations, color space manipulation, analysis, filtering, and feature detection. Designed for scientific research and production environments, it integrates seamlessly with the Python scientific stack including NumPy and Matplotlib.
Key Features:
  • Comprehensive algorithms for segmentation, filtering, and feature detection
  • Seamless integration with NumPy arrays and SciPy ecosystem
  • High-quality documentation and active academic community support
  • IO support for various image formats via plugins like Pillow and imageio
Use Cases:
  • Scientific image analysis and biomedical image processing
  • Computer vision prototyping and educational purposes
  • Feature extraction for machine learning pipelines
Alternatives:
  • OpenCV – OpenCV offers C++ performance and broader real-time computer vision features, whereas scikit-image focuses on scientific algorithms within the Python ecosystem.
  • Pillow – Pillow is primarily for basic image I/O and manipulation, while scikit-image provides advanced algorithmic processing.
Version History
Detected Version Rev Change Commit
Dec 20, 2025 5:28pm 0.25.2 1 VERSION_BUMP a382a37f
Oct 27, 2025 9:43pm 0 VERSION_BUMP 9e5ebc5c
Sep 14, 2025 10:50pm 0 VERSION_BUMP e66ec37c
Dec 14, 2024 12:04am 0 VERSION_BUMP eadd6e6f