User Guide

• Getting started
• A crash course on NumPy for images
  • NumPy indexing
  • Color images
  • Coordinate conventions
  • Notes on the order of array dimensions
  • A note on the time dimension
• Image data types and what they mean
  • Input types
  • Output types
  • Working with OpenCV
  • Image processing pipeline
  • Rescaling intensity values
  • Note about negative values
  • References
• I/O Plugin Infrastructure
• Handling Video Files
  • A Workaround: Convert the Video to an Image Sequence
  • PyAV
  • Adding Random Access to PyAV
  • MoviePy
  • Imageio
  • OpenCV
• Data visualization
  • Matplotlib
  • Plotly
  • Mayavi
  • Napari
• Image adjustment: transforming image content
  • Color manipulation
  • Contrast and exposure
• Geometrical transformations of images
  • Cropping, resizing and rescaling images
  • Projective transforms (homographies)
• Tutorials
  • Image Segmentation
  • How to parallelize loops
• Getting help on using skimage
  • Examples gallery
  • Search field
  • API Discovery
  • Docstrings
  • Mailing-list
• Image Viewer
  • Quick Start