As we have previously seen, images or raster data are arrays containing numerical values representing a given real world space. So, they are by consequence statistical samples and they can be used in statistical analysis.
When we import the data, it is converted into NumPy arrays. These arrays are packed with methods for basic statistical calculations. In this topic, we are going to obtain the results from these calculations and save them in a file.
At the end of the previous chapter, we made an image processing pipeline by combining steps that can be saved on the disk. Here, we will follow the same pattern. The statistical computation will be added as another step. Maintaining the same kind of organization allows the user to generate statistics at any point on the processing pipeline. It will be possible to save statistics from all the substeps if needed.
Let's start by organizing our code:
As we do at the beginning of every chapter, we will copy the code from the...