Python Image Processing Cookbook

More Information
Learn
  • Implement supervised and unsupervised machine learning algorithms for image processing
  • Use deep neural network models for advanced image processing tasks
  • Perform key tasks like image classification, object detection, and face recognition
  • Apply image segmentation and registration techniques on medical images to assist doctors
  • Use classical image processing and deep learning methods for image restoration
  • Implement text detection from images to use with optical character recognition (OCR)
  • Get to grips with image enhancement techniques
About

With advancements in wireless devices and mobile technology, there’s an ever-increasing demand for digital image processing skills to extract useful information from the ever-growing volume of images. This book provides comprehensive coverage of tools, algorithms, 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 image detection, image segmentation, and image reconstruction using large hybrid data sets. This book will also guide you in 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 to apply deep learning-based techniques such as transfer learning and fine-tuning to solve real-world problems.

By the end of this book, you’ll be equipped with the skills you need to apply image processing techniques effectively to leverage the complete capabilities of the Python ecosystem.

Features
  • Discover solutions to complex image processing tasks using Python tools such as scikit-image and Keras
  • Delve into popular concepts such as machine learning, deep learning, and neural networks for image processing
  • Explore common and not-so-common challenges faced in image processing
Page Count 435
Course Length 13 hours 3 minutes
ISBN 9781789537147
Date Of Publication 25 Dec 2020

Authors

Sandipan Dey

Sandipan Dey is a data scientist with a wide range of interests, covering topics such as machine learning, deep learning, image processing, and computer vision. He has worked in numerous data science fields, working with recommender systems, predictive models for the events industry, sensor localization models, sentiment analysis, and device prognostics. He earned his master's degree in computer science from the University of Maryland, Baltimore County, and has published in a few IEEE Data Mining conferences and journals. He has earned certifications from 100+ MOOCs on data science, machine learning, deep learning, image processing, and related courses. He is a regular blogger (sandipanweb) and is a machine learning education enthusiast.