April 2020
Intermediate to advanced
438 pages
12h 2m
English
Overview
Engage with Python's power to bring advanced image processing and computer vision tasks within your grasp. In 'Python Image Processing Cookbook', you'll explore over 60 specialized recipes demonstrating diverse techniques for image analysis, manipulation, and augmentation using Python libraries like scikit-image and Keras.
What this Book will help me do
- Master supervised and unsupervised machine learning techniques for image processing.
- Apply deep neural networks to perform complex tasks like object detection and face recognition.
- Gain expertise in medical image processing, aiding applications like segmentation and registration.
- Leverage advanced image restoration methods through both classical and deep learning methods.
- Implement real-world solutions such as text detection with OCR and robust image enhancement.
Author(s)
Sandipan Dey is an accomplished data scientist and engineer with a rich experience in programming and image processing. Passionate about sharing his knowledge, he focuses on equipping readers with practical and applicable skills. Sandipan's approachable style ensures complex topics are accessible to learners at all levels.
Who is it for?
This book is ideal for learners who are Python coders, including beginners to intermediates interested in image processing. Image processing and computer vision professionals will benefit from its rich content. It suits machine learning engineers eager to incorporate image-focused techniques into their projects. Any technologist looking to advance their skills in Python-based image tasks will find this book indispensable.
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