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OpenCV By Example: Enhance your understanding of Computer Vision and image processing by developing real-world projects in OpenCV 3 (English Edition) - Softcover

Prateek Joshi; David Millán Escrivá; Vinicius Godoy

 
9781785280948: OpenCV By Example: Enhance your understanding of Computer Vision and image processing by developing real-world projects in OpenCV 3 (English Edition)

Inhaltsangabe

Enhance your understanding of Computer Vision and image processing by developing real-world projects in OpenCV 3

About This Book

  • Get to grips with the basics of Computer Vision and image processing
  • This is a step-by-step guide to developing several real-world Computer Vision projects using OpenCV 3
  • This book takes a special focus on working with Tesseract OCR, a free, open-source library to recognize text in images

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 Open CV, this is the book for you. Knowledge of C++ is required.

What You Will Learn

  • Install OpenCV 3 on your operating system
  • Create the required CMake scripts to compile the C++ application and manage its dependencies
  • Get to grips with the Computer Vision workflows and understand the basic image matrix format and filters
  • Understand the segmentation and feature extraction techniques
  • Remove backgrounds from a static scene to identify moving objects for video surveillance
  • Track different objects in a live video using various techniques
  • Use the new OpenCV functions for text detection and recognition with Tesseract

In Detail

Open CV is a cross-platform, free-for-use library that is primarily used for real-time Computer Vision and image processing. It 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.

Whether you are completely new to the concept of Computer Vision or have a basic understanding of it, this book will be your guide to understanding the basic OpenCV concepts and algorithms through amazing real-world examples and projects.

Starting from the installation of OpenCV on your system and understanding the basics of image processing, we swiftly move on to creating optical flow video analysis or text recognition in complex scenes, and will take you through the commonly used Computer Vision techniques to build your own Open CV projects from scratch.

By the end of this book, you will be familiar with the basics of Open CV such as matrix operations, filters, and histograms, as well as more advanced concepts such as segmentation, machine learning, complex video analysis, and text recognition.

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Über die Autorin bzw. den Autor

Michael Solberg, as a chief architect, is responsible for helping Red Hat customers achieve their key business transformation initiatives through open source architectures and technologies. He regularly advises a range of Fortune 100 companies in financial services, healthcare, retail, and transportation verticals on topics such as cloud computing, big data, high-performance computing, and enterprise middleware. At Red Hat since 2008, Michael has led a number of successful initiatives to assist strategic customers adopt new virtualization, systems management, and engineering practices. His previous experience includes building web hosting infrastructure. He is also an avid supporter of the OpenStack project. Michael holds a Bachelor's degree from the University of Georgia and is a regular speaker at industry events.

Von der hinteren Coverseite

Design and implement successful private clouds with OpenStack Key Features Explore the various design choices available for cloud architects within an OpenStack deployment Craft an OpenStack architecture and deployment pipeline to meet the unique needs of your organization Create a product roadmap for Infrastructure as a Service in your organization using this hands-on guide Book Description Over the last five years, hundreds of organizations have successfully implemented Infrastructure as a Service (IaaS) platforms based on OpenStack. The huge amount of investment from these organizations, industry giants such as IBM and HP, as well as open source leaders such as Red Hat have led analysts to label OpenStack as the most important open source technology since the Linux operating system. Because of its ambitious scope, OpenStack is a complex and fast-evolving open source project that requires a diverse skill-set to design and implement it. This guide leads you through each of the major decision points that you'll face while architecting an OpenStack private cloud for your organization. At each point, we offer you advice based on the experience we've gained from designing and leading successful OpenStack projects in a wide range of industries. Each chapter also includes lab material that gives you a chance to install and configure the technologies used to build production-quality OpenStack clouds. Most importantly, we focus on ensuring that your OpenStack project meets the needs of your organization, which will guarantee a successful rollout. What You Will Learn Familiarize yourself with the components of OpenStack Build an increasingly complex OpenStack lab deployment Write compelling documentation for the architecture teams within your organization Apply Agile configuration management techniques to deploy OpenStack Integrate OpenStack with your organization's identity management, provisioning, and billing systems Configure a robust virtual environment for users to interact with Use enterprise security guidelines for your OpenStack deployment Create a product roadmap that delivers functionality quickly to the users of your platform Who This Book Is For This book is written especially for those who will design OpenStack clouds and lead their implementation. These people are typically cloud architects, but may also be in product management, systems engineering, or enterprise architecture.

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