OpenCV 3 Computer Vision with Python Cookbook: Leverage the Power of OpenCV 3 and Python to Build Computer Vision Applications

✍ Scribed by Alexey Spizhevoy; Aleksandr Rybnikov

• Year: 2018
• Tongue: English
• Leaves: 208
• Category: Library

✦ Synopsis

OpenCV 3 is a native cross-platform library for computer vision, machine learning, and image processing. This book will help you tackle increasingly challenging computer vision problems by providing number of recipes that you can use to improvise your existing applications. In this book, you will learn how to process an image by manipulating pixels and analyze an image using histograms. We'll guide you through segmenting images into homogeous regions and extracting meaningful objects. Then you'll learn how to apply image filters to enhance image content and exploit the image geometry in order to relay different views of a pictured scene. We'll explore techniques to achieve camera calibration and perform multiple-view analysis. Later, you'll work on converting low-level pixel information to high-level concepts for applications such as object detection, recognition, and scene monitoring. You'll discover how to process video from files or cameras, and how to detect and track moving objects. Finally, you'll get acquainted with recent approaches in deep learning, object classification, and neural networks. By the end of the book, you'll be able to apply your skills in OpenCV to create and explore computer vision applications in various domains.