Image Processing and Computer Vision Masterclass with Python, 2nd Edition

This book provides a thorough exploration of advanced techniques and practical implementations in the field of computer vision. This book offers a problem-oriented approach that bridges traditional image processing with modern machine learning and generative AI methods. ​​This new edition significantly expands into specialized domains with medical imaging applications using professional libraries like pydicom, ITK, and nnUNet for clinical diagnosis, including COVID-19 detection and brain tumor segmentation, plus remote sensing analysis with satellite processing.
By the end of this book, readers will have developed strong practical skills in both classical and cutting-edge image processing and computer vision techniques, empowered to confidently design, implement, and adapt solutions across a wide range of real-world applications. They will emerge with a deep understanding of theory, hands-on coding experience, and the ability to leverage AI and generative models to push the boundaries of visual computing.
WHAT YOU WILL LEARN

● Restore and enhance images using classical and deep learning methods.
● Segment images with advanced clustering and neural network techniques.
● Extract and match features for image alignment and recognition.
● Build and train image classifiers with ML and AI.
● Learn advanced restoration and inpainting techniques using cutting-edge deep learning models.
● Explore specialized domain expertise in medical imaging applications using professional libraries.
WHO THIS BOOK IS FOR

This book is ideal for undergraduate and graduate students, researchers, and professionals in computer vision, image processing, and AI. It also serves computer vision engineers, image analysts, data scientists, software engineers, and industry practitioners seeking practical, hands-on expertise using Python.

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