The document discusses various Python libraries for working with images and computer vision tasks. It describes PIL for reading, writing, and manipulating image files. Ndimage and Mahotas are mentioned as tools for common image processing functions within Scipy and specifically in C++ for speed. Vision tasks like feature detection and segmentation can be done with Mahotas, Ndimage, and other specialist libraries. Examples of functions within each library are provided.

1. Images and vision in python Jonathan Street

2. Creation Analysis PIL pypng Scipy.ndimage Mahotas pymorph Common? Specialist?

3. PIL Reading/writing/converting image files Filters/Enhancements Likely uses creating thumbnails, drawing graphs etc.

4. Growing neural gas visualisation

6. Demo Image creation Drawing Text Viewing/saving the image

7. Windows Gotchas Image preview Truetype font support http://www.lfd.uci.edu/~gohlke/pythonlibs/

8. Vision Extracting information from images

9. Ndimage Part of scipy ~80 different functions Convenience functions Filters Interpolation Measurements Morphology

10. Mahotas Partly implemented in C++ for speed ~40 functions Feature detection Thresholding Transforms

11. Mahotas bbox bwperim center_of_mass close_holes convolve croptobbox cwatershed dilate distance edge erode euler features freeimage fullhistogram get_structuring_elem histogram imread imresize imsave lbp majority_filter moments morph otsu rc resize segmentation sobel stretch tas texture thin thresholding zernike

12. PIL <-> Numpy array PIL[a,b] Numpy array[a,b] a b b a

13. Open Plaques Transcription “ 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.”

18. Links http://packages.python.org/mahotas http://packages.python.org/pymorph http://docs.scipy.org/doc/scipy/reference/ndimage.html http://www.pythonware.com/products/pil/ http://pythonvision.org/