Image segmentation with Python

In this article we look at an interesting data problem – making decisions about the algorithms used for image segmentation, or separating one qualitatively different part of an image from another. Example code for this article may be found at the Kite Github repository. We have provided tips on how to use the code throughout. As our example, we work through the process of differentiating vascular tissue in images, produced by Knife-edge Scanning Microscopy (KESM). While this may seem like a specialized use-case, there are far-reaching implications, especially regarding preparatory steps for statistical analysis and machine learning.