Explore OpenCV 4 to create visually appealing cross-platform computer vision applications
Key Features:
- Understand basic OpenCV 4 concepts and algorithms
- Grasp advanced OpenCV techniques such as 3D reconstruction, machine learning, and artificial neural networks
- Work with Tesseract OCR, an open-source library to recognize text in images
Book Description:
OpenCV is one of the best open source libraries available, and can help you focus on constructing complete projects on image processing, motion detection, and image segmentation. Whether you're completely new to computer vision, or have a basic understanding of its concepts, Learn OpenCV 4 by Building Projects - Second edition will be your guide to understanding OpenCV concepts and algorithms through real-world examples and projects.
You'll begin with the installation of OpenCV and the basics of image processing. Then, you'll cover user interfaces and get deeper into image processing. As you progress through the book, you'll learn complex computer vision algorithms and explore machine learning and face detection. The book then guides you in creating optical flow video analysis and background subtraction in complex scenes. In the concluding chapters, you'll also learn about text segmentation and recognition and understand the basics of the new and improved deep learning module.
By the end of this book, you'll be familiar with the basics of Open CV, such as matrix operations, filters, and histograms, and you'll have mastered commonly used computer vision techniques to build OpenCV projects from scratch.
What You Will Learn:
- Install OpenCV 4 on your operating system
- Create CMake scripts to compile your C++ application
- Understand basic image matrix formats and filters
- Explore segmentation and feature extraction techniques
- Remove backgrounds from static scenes to identify moving objects for surveillance
- Employ various techniques to track objects in a live video
- Work with new OpenCV functions for text detection and recognition with Tesseract
- Get acquainted with important deep learning tools for image classification
Who this book is for:
If you are a software developer with a basic understanding of computer vision and image processing and want to develop interesting computer vision applications with OpenCV, Learn OpenCV 4 by Building Projects for you. Prior knowledge of C++ will help you understand the concepts covered in this book.
Table of Contents
- Getting started with OpenCV
- An introduction to the basics of OpenCV
- Learning graphical user interfaces
- Delving into histrograms and filters
- Automated optical inspection, object segmentation and detection
- Learning object classification
- Detecting face parts and overlaying masks
- Video surveillance, background modeling, and morphological operations
- Learning object tracking
- Developing segmentation algorithms for text recognition
- Text recognition with Tesseract
- Deep Learning with OpenCV
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. OpenCV is mainly used in Computer Vision and image processing and is considered to be one of the best open source libraries that helps developers focus on constructing complete projects on image processing, motion detection, and image segmentation. This boo. Codice articolo 448331080
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Explore OpenCV 4 to create visually appealing cross-platform computer vision applicationsKey Features: Understand basic OpenCV 4 concepts and algorithms Grasp advanced OpenCV techniques such as 3D reconstruction, machine learning, and artificial neural networks Work with Tesseract OCR, an open-source library to recognize text in imagesBook Description:OpenCV is one of the best open source libraries available, and can help you focus on constructing complete projects on image processing, motion detection, and image segmentation. Whether you're completely new to computer vision, or have a basic understanding of its concepts, Learn OpenCV 4 by Building Projects - Second edition will be your guide to understanding OpenCV concepts and algorithms through real-world examples and projects.You'll begin with the installation of OpenCV and the basics of image processing. Then, you'll cover user interfaces and get deeper into image processing. As you progress through the book, you'll learn complex computer vision algorithms and explore machine learning and face detection. The book then guides you in creating optical flow video analysis and background subtraction in complex scenes. In the concluding chapters, you'll also learn about text segmentation and recognition and understand the basics of the new and improved deep learning module.By the end of this book, you'll be familiar with the basics of Open CV, such as matrix operations, filters, and histograms, and you'll have mastered commonly used computer vision techniques to build OpenCV projects from scratch.What You Will Learn: Install OpenCV 4 on your operating system Create CMake scripts to compile your C++ application Understand basic image matrix formats and filters Explore segmentation and feature extraction techniques Remove backgrounds from static scenes to identify moving objects for surveillance Employ various techniques to track objects in a live video Work with new OpenCV functions for text detection and recognition with Tesseract Get acquainted with important deep learning tools for image classificationWho this book is for:If you are a software developer with a basic understanding of computer vision and image processing and want to develop interesting computer vision applications with OpenCV, Learn OpenCV 4 by Building Projects for you. Prior knowledge of C++ will help you understand the concepts covered in this book.Table of Contents Getting started with OpenCV An introduction to the basics of OpenCV Learning graphical user interfaces Delving into histrograms and filters Automated optical inspection, object segmentation and detection Learning object classification Detecting face parts and overlaying masks Video surveillance, background modeling, and morphological operations Learning object tracking Developing segmentation algorithms for text recognition Text recognition with Tesseract Deep Learning with OpenCV. Codice articolo 9781789341225
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Taschenbuch. Condizione: Neu. Learn OpenCV 4 by Building Projects - Second Edition | Build real-world computer vision and image processing applications with OpenCV and C++ | David Millán Escrivá (u. a.) | Taschenbuch | Kartoniert / Broschiert | Englisch | 2018 | Packt Publishing | EAN 9781789341225 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Codice articolo 115118578
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