Python Image Processing Cookbook: Over 60 recipes to help you perform complex image processing and computer vision tasks with ease

• Discover solutions to complex image processing tasks using Python tools such as scikit-image and Keras
• Learn 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

• Implement supervised and unsupervised machine learning algorithms for image processing
• Use deep neural network models for advanced image processing tasks
• Perform 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 in images using Tesseract, the optical character recognition (OCR) engine
• Understand image enhancement techniques such as gradient blending

This book is for image processing engineers, computer vision engineers, software developers, machine learning engineers, or anyone who wants to become well-versed with image processing techniques and methods using a recipe-based approach. Although no image processing knowledge is expected, prior Python coding experience is necessary to understand key concepts covered in the book.