Python scipy.ndimage Module

This page shows the popular functions and classes defined in the scipy.ndimage module. The items are ordered by their popularity in 40,000 open source Python projects. If you can not find a good example below, you can try the search function to search modules.

• 1. gaussian_filter()    
  Used in 95 projects
• 2. zoom()    
  Used in 84 projects
• 3. label()    
  Used in 78 projects
• 4. imread()    
  Used in 66 projects
• 5. rotate()    
  Used in 42 projects
• 6. convolve()    
  Used in 40 projects
• 7. map_coordinates()    
  Used in 40 projects
• 8. distance_transform_edt()    
  Used in 32 projects
• 9. binary_erosion()    
  Used in 32 projects
• 10. shift()    
  Used in 25 projects
• 11. binary_dilation()    
  Used in 24 projects
• 12. median_filter()    
  Used in 23 projects
• 13. maximum_filter()    
  Used in 21 projects
• 14. generate_binary_structure()    
  Used in 20 projects
• 15. binary_fill_holes()    
  Used in 20 projects
• 16. binary_closing()    
  Used in 18 projects
• 17. gaussian_filter1d()    
  Used in 17 projects
• 18. affine_transform()    
  Used in 15 projects
• 19. find_objects()    
  Used in 15 projects
• 20. sum()    
  Used in 14 projects
• 21. uniform_filter()    
  Used in 12 projects
• 22. center_of_mass()    
  Used in 11 projects
• 23. sobel()    
  Used in 9 projects
• 24. convolve1d()    
  Used in 9 projects
• 25. binary_opening()    
  Used in 7 projects
• 26. grey_dilation()    
  Used in 7 projects
• 27. spline_filter()    
  Used in 7 projects
• 28. generic_filter()    
  Used in 7 projects
• 29. correlate()    
  Used in 7 projects
• 30. mean()    
  Used in 6 projects
• 31. histogram()    
  Used in 6 projects
• 32. laplace()    
  Used in 5 projects
• 33. minimum_filter()    
  Used in 5 projects