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Images and Vision in Python


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Creating and analysing images in python using PIL, scipy.ndimage and mahotas

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Images and Vision in Python

  1. 1. Images and vision in python Jonathan Street
  2. 2. Creation Analysis PIL pypng Scipy.ndimage Mahotas pymorph Common? Specialist?
  3. 3. PIL <ul><li>Reading/writing/converting image files </li></ul><ul><li>Filters/Enhancements </li></ul><ul><li>Likely uses creating thumbnails, drawing graphs etc. </li></ul>
  4. 4. Growing neural gas visualisation
  5. 6. Demo <ul><li>Image creation </li></ul><ul><li>Drawing </li></ul><ul><li>Text </li></ul><ul><li>Viewing/saving the image </li></ul>
  6. 7. Windows Gotchas <ul><li>Image preview </li></ul><ul><li>Truetype font support </li></ul><ul><ul><li> </li></ul></ul>
  7. 8. Vision Extracting information from images
  8. 9. Ndimage <ul><li>Part of scipy </li></ul><ul><li>~80 different functions </li></ul><ul><li>Convenience functions </li></ul><ul><li>Filters </li></ul><ul><li>Interpolation </li></ul><ul><li>Measurements </li></ul><ul><li>Morphology </li></ul>
  9. 10. Mahotas <ul><li>Partly implemented in C++ for speed </li></ul><ul><li>~40 functions </li></ul><ul><li>Feature detection </li></ul><ul><li>Thresholding </li></ul><ul><li>Transforms </li></ul>
  10. 11. Mahotas <ul><li>bbox </li></ul><ul><li>bwperim </li></ul><ul><li>center_of_mass </li></ul><ul><li>close_holes </li></ul><ul><li>convolve </li></ul><ul><li>croptobbox </li></ul><ul><li>cwatershed </li></ul><ul><li>dilate </li></ul><ul><li>distance </li></ul><ul><li>edge </li></ul><ul><li>erode </li></ul><ul><li>euler </li></ul><ul><li>features </li></ul><ul><li>freeimage </li></ul><ul><li>fullhistogram </li></ul><ul><li>get_structuring_elem </li></ul><ul><li>histogram </li></ul><ul><li>imread </li></ul><ul><li>imresize </li></ul><ul><li>imsave </li></ul><ul><li>lbp </li></ul><ul><li>majority_filter </li></ul><ul><li>moments </li></ul><ul><li>morph </li></ul><ul><li>otsu </li></ul><ul><li>rc </li></ul><ul><li>resize </li></ul><ul><li>segmentation </li></ul><ul><li>sobel </li></ul><ul><li>stretch </li></ul><ul><li>tas </li></ul><ul><li>texture </li></ul><ul><li>thin </li></ul><ul><li>thresholding </li></ul><ul><li>zernike </li></ul>
  11. 12. PIL <-> Numpy array <ul><li>PIL[a,b] </li></ul><ul><li>Numpy array[a,b] </li></ul>a b b a
  12. 13. Open Plaques Transcription <ul><li>“ Open Plaques is a service that aims to find and provide data about all the commemorative 'plaques' (often blue and round) that can be found across the UK and worldwide.” </li></ul>
  13. 18. Links <ul><li> </li></ul><ul><li> </li></ul><ul><li> </li></ul><ul><li> </li></ul><ul><li> </li></ul>