Being able to process, extract information and understand an image quickly has become critical to many applications such as security, payment, healthcare, advertising, and so on. This is where this book comes in.

The book will start with the basics and guide you to go to on an advanced level by providing python reproducible implementations throughout the book. You will be proficient to write code snippets in Python 3 and quickly implement complex image processing and computer vision algorithms to solve problems in image enhancement, restoration, denoising, segmentation, classification, object detection and so on, using image processing libraries such as PIL, scikit-mage, scipy ndimage, opencv-python. You will learn to use ML models using scikit-learn and explore recent advances with deep learning models with CNNs (e.g., ResNet, Yolo) using tensorflow, keras, pytorch. You will also learn a few advanced problems such as image-to-image translation, anisotropic diffusion, generative arts. By the end of this book, you will be highly hands-on to solve problems on image processing.

This book follows a highly practical approach which that will take its readers through a set of image- processing concepts/algorithms and help them learn, in detail, how to use leading python library functions to implement these algorithms.

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Spis treści

Hands-On Image Processing with Python. Advanced Methods for Analyzing, Transforming, and Interpreting Digital Images with Expertise - Second Edition eBook -- spis treści

• 1. Getting started with Image Processing
• 2. Sampling Fourie Transform
• 3. Convolution and Frequency domain Filtering
• 4. Image Enhancement
• 5. Image Enhancements using Derivatives
• 6. Morphological Image Processin
• 7. Extracting Image Features and Descriptors
• 8. Image Segmentation
• 9. Classical Machine Learning Methods
• 10. Deep Learning in Image Processing - Image Classification with Deep Neural Networks
• 11. Object Detection, Deep Segmentation and Transfer Learning
• 12. Additional Problems in Image Processing