Importing image data into NumPy arrays
We are going to demonstrate how to do image processing using Python's libraries such as NumPy and SciPy.
In scientific computing, images are usually seen as n-dimensional arrays. They are usually two-dimensional arrays; in our examples, they are represented as a NumPy array data structure. Therefore, functions and operations performed on those structures are seen as matrix operations.
Images in this sense are not always two-dimensional. For medical or bio-sciences, images are data structures of higher dimensions such as 3D (having the z axis as depth or as the time axis) or 4D (having three spatial dimensions and a temporal one as the fourth dimension). We will not be using those in this recipe.
We can import ...
Get Python Data Visualization Cookbook - Second Edition now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
