Book Image

Python Image Processing Cookbook

By : Sandipan Dey
Book Image

Python Image Processing Cookbook

By: Sandipan Dey

Overview of this book

With the advancements in wireless devices and mobile technology, there's increasing demand for people with digital image processing skills in order to extract useful information from the ever-growing volume of images. This book provides comprehensive coverage of the relevant tools and algorithms, and guides you through analysis and visualization for image processing. With the help of over 60 cutting-edge recipes, you'll address common challenges in image processing and learn how to perform complex tasks such as object detection, image segmentation, and image reconstruction using large hybrid datasets. Dedicated sections will also take you through implementing various image enhancement and image restoration techniques, such as cartooning, gradient blending, and sparse dictionary learning. As you advance, you'll get to grips with face morphing and image segmentation techniques. With an emphasis on practical solutions, this book will help you apply deep learning techniques such as transfer learning and fine-tuning to solve real-world problems. By the end of this book, you'll be proficient in utilizing the capabilities of the Python ecosystem to implement various image processing techniques effectively.
Table of Contents (11 chapters)

Medical image registration with SimpleITK

As discussed, the objective of registration is to estimate the transformation that associates the points in given input images. The transformation estimated via registration is said to map points from the fixed to the moving image coordinate system. SimpleITK provides a configurable multi-resolution registration framework, implemented in the ImageRegistrationMethod class. To create a specific registration instance using ImageRegistrationMethod, you need to select several components that together define the registration instance:

  • Transformation
  • Similarity metric
  • Optimizer
  • Interpolator

The following diagram shows the components of the registration framework in SimpleITK:

Image registration is done using optimization in the parameter space (the transform to be applied to the moving image to align with the fixed image is defined by the...