使用OpenCV进行计算机视觉编程实战指南

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"OpenCV.3.Computer.Vision.Application.Programming.Cookbook.3rd.Edition.pdf" 是一本面向C++程序员的OpenCV库使用指南,适合计算机视觉应用的初学者以及希望涉足计算机视觉编程的专业软件开发者。这本书也可以作为大学计算机视觉课程的辅助教材,对于图像处理和计算机视觉领域的研究生及研究人员来说,是一本优秀的参考书。 本书涵盖的内容广泛,包括如何安装OpenCV库、加载、显示和保存图像,以及深入理解cv::Mat数据结构等基础操作。此外,还介绍了如何进行图像可视化,利用cv::viz模块,以及定义图像的感兴趣区域(ROI)等高级功能。 在“Installing the OpenCV library”部分,作者将引导读者完成OpenCV库的安装过程,这是使用OpenCV进行开发的第一步。了解如何正确安装和配置库对于后续的编程至关重要。 “Loading, displaying, and saving images”章节则详细讲解了如何读取、显示和保存图像,这是所有图像处理工作的基础。通过示例代码,读者可以学习到如何使用OpenCV函数来实现这些基本操作,并能了解如何在图像上进行点击交互和绘制。 深入到“Exploring the cv::Mat data structure”,cv::Mat是OpenCV中的核心数据结构,用于存储和处理图像数据。在这里,读者会学习到如何操作这个数据结构,包括处理小矩阵,这对于理解和优化图像处理算法非常关键。 最后,书中提到了“Defining regions of interest (ROIs)”,这部分内容讲述了如何选择图像中的特定区域进行处理,这对于目标检测、跟踪等任务是必不可少的。 这本书提供了丰富的实例和详细解释,旨在帮助读者掌握OpenCV 3的基本用法和计算机视觉编程的核心概念。无论你是初学者还是有经验的开发者,都能从中受益,提升你的计算机视觉应用开发能力。
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Key Features Written to the latest, gold-standard specification of OpenCV 3 Master OpenCV, the open source library of the computer vision community Master fundamental concepts in computer vision and image processing Learn about the important classes and functions of OpenCV with complete working examples applied to real images Book Description Making your applications see has never been easier with OpenCV. With it, you can teach your robot how to follow your cat, write a program to correctly identify the members of One Direction, or even help you find the right colors for your redecoration. OpenCV 3 Computer Vision Application Programming Cookbook Third Edition provides a complete introduction to the OpenCV library and explains how to build your first computer vision program. You will be presented with a variety of computer vision algorithms and exposed to important concepts in image and video analysis that will enable you to build your own computer vision applications. This book helps you to get started with the library, and shows you how to install and deploy the OpenCV library to write effective computer vision applications following good programming practices. You will learn how to read and write images and manipulate their pixels. Different techniques for image enhancement and shape analysis will be presented. You will learn how to detect specific image features such as lines, circles or corners. You will be introduced to the concepts of mathematical morphology and image filtering. The most recent methods for image matching and object recognition are described, and you'll discover how to process video from files or cameras, as well as how to detect and track moving objects. Techniques to achieve camera calibration and perform multiple-view analysis will also be explained. Finally, you'll also get acquainted with recent approaches in machine learning and object classification. What you will learn Install and create a program using the OpenCV library Process an image by manipulating its pixels Analyze an image using histograms Segment images into homogenous regions and extract meaningful objects Apply image filters to enhance image content Exploit the image geometry in order to relay different views of a pictured scene Calibrate the camera from different image observations Detect faces and people in images using machine learning techniques About the Author Robert Laganiere is a professor at the School of Electrical Engineering and Computer Science of the University of Ottawa, Canada. He is also a faculty member of the VIVA research lab and is the co-author of several scientific publications and patents in content-based video analysis, visual surveillance, object recognition, and 3D reconstruction. Robert authored OpenCV2 Computer Vision Application Programming Cookbook in 2011 and co-authored Object Oriented Software Development published by McGraw Hill in 2001. He co-founded Visual Cortek in 2006, an Ottawa-based video analytics start-up that was later acquired by iWatchLife.com in 2009 where he also assumes the role of Chief Scientist. Since 2011, Robert has also been Chief Scientist at Cognivue Corp, a leader in embedded vision solutions. Robert has a Bachelor of Electrical Engineering degree from Ecole Polytechnique in Montreal (1987) and M.Sc. and Ph.D. degrees from INRS-Telecommunications, Montreal (1996). Table of Contents Chapter 1. Playing with Images Chapter 2. Manipulating Pixels Chapter 3. Processing the Colors of an Image Chapter 4. Counting the Pixels with Histograms Chapter 5. Transforming Images with Morphological Operations Chapter 6. Filtering the Images Chapter 7. Extracting Lines, Contours, and Components Chapter 8. Detecting Interest Points Chapter 9. Describing and Matching Interest Points Chapter 10. Estimating Projective Relations in Images Chapter 11. Reconstructing 3D Scenes Chapter 12. Processing Video Sequences Chapter 13. Tracking Visual Motion Chapter 14. Learning from Examples Title: OpenCV 3 Computer Vision Application Programming Cookbook, 3rd Edition Author: Robert Laganière Length: 527 pages Edition: 3rd Revised edition Language: English Publisher: Packt Publishing Publication Date: 2017-03-06 ISBN-10: 1786469715 ISBN-13: 9781786469717