Feature Extraction and Image Processing in Computer Vision (5^th Edition)

Python and Matlab examples for Feature Extraction and Image Processing in Computer Vision by Mark S. Nixon & Alberto S. Aguado.

This book is available on Elsevier, Waterstones and Amazon.

More Information

In the book home page you'll find extra material for the book as well as useful image processing and computer vision links.

Here, you can find the complete Contents and the Errata.

Python Installation of dependencies:

Examples require Python 3.12.8 https://www.python.org/downloads/

Note that, in order to run the examples in visual studio, it is necessary to choose tcl/tk and IDLE options during the Python installation

Dependencies can be installed with pip.

• To install pip: https://www.geeksforgeeks.org/how-to-install-pip-on-windows/
  

The dependencies are:

- pip install numpy==1.26.4
- pip install pillow==10.4.0
- pip install matplotlib==3.9.2
- pip install pandas==2.2.3

Other versions of the dependencies may work, however they might require changing the Modules or examples code

To install jupyter (The examples were developed in version 1.1.1)

- python -m pip install jupyter  

ML examples require to install tensor flow examples were developed with version 2.17

- pip install tensorflow 
- pip install tensorflow_datasets

License

The code in this repository, including all code samples, is released under the The MIT License.