This book covers how to solve image processing problems using popular Python image processing libraries (such as PIL, scikit-image, python-opencv, scipy ndimage, and SimpleITK), machine learning libraries (scikit-learn), and deep learning libraries (TensorFlow, Keras). It will enable the reader to write code snippets to implement complex image processing algorithms, such as image enhancement, filtering, restoration, segmentation, classification, and object detection. The reader will also be able to use machine learning and deep learning models to solve complex image processing problems.
The book will start with the basics and guide the reader to go to an advanced level by providing Python-reproducible implementations throughout the ...
