Chapter 9. Mathematical Imaging

Mathematical Imaging is a very broad field that is concerned with the treatment of images by representing them as mathematical objects. Depending on the goals, we have four subfields:

• Image acquisition: The concern here is the effective representation of an object as an image. Clear examples are the digitalization of a photograph (that could be coded as a set of numerical arrays), or super-imposed information of the highest daily temperatures on a map (that could be coded as a discretization of a multivariate function). The processes of acquisition differ depending on what needs to be measured and the hardware that performs the measures. This topic is beyond the scope of this book but, if interested, some previous background can be obtained by studying the Python interface to OpenCV and any of the background libraries, such as Python Imaging Library (PIL) and the friendly PIL fork Pillow.

  Tip

  A nice documentation for PIL can be accessed through the http:...