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Image Processing with Scikit Image

Description

From telescopes to satellite cameras to electron microscopes, scientists are producing large datasets of images to be processed and analyzed. This tutorial will introduce image processing using the "images as numpy arrays" abstraction, run through various fundamental image analysis operations (filters, morphology, segmentation), and finally complete one or two more advanced real-world examples.

Access materials here:

  1. https://github.com/jni/skimage-tutorials/blob/euroscipy2015/2015-euroscipy/index.ipynb
  2. https://github.com/jni/skimage-tutorials/blob/a7ab20a6da21222c4006537cba2c6ca85c7b9d33/lectures/00_images_are_arrays.ipynb
  3. https://github.com/jni/skimage-tutorials/blob/a7ab20a6da21222c4006537cba2c6ca85c7b9d33/lectures/1_image_filters.ipynb
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