Hands-On Image Processing with Python

Explore the fascinating world of image processing with this hands-on guide that covers everything from the basics of image manipulation to advanced deep learning methods. In this book, you'll learn how to implement sophisticated algorithms for a variety of real-world tasks using Python libraries like PIL and scikit-image. By the end, you'll confidently handle any image processing challenge.

What this Book will help me do

• Learn how to perform essential pre-processing techniques such as filtering and image enhancement using Python.
• Understand and implement frequency domain transformations like FFT for image analysis.
• Master the usage of morphological operations and explore various segmentation techniques.
• Leverage feature extraction methods and matching for applications like object identification.
• Apply machine learning and deep learning models for tasks including classification and object detection.

Author(s)

Sandipan Dey is an experienced technical author and a practitioner in the field of computer vision and image processing. With extensive expertise in Python and related technologies, Sandipan brings a wealth of practical knowledge and insights to learners. His book is a perfect blend of hands-on tutorials and theoretical concepts.

Who is it for?

This book is designed for Computer Vision Engineers and machine learning developers proficient in Python who want to delve into image processing techniques. Beginners interested in the field will find the approach accessible, while experienced developers will appreciate the depth and scope of advanced topics covered.