Emgu CV Essentials

Develop your own computer vision application using the power of Emgu CV

Emgu CV Essentials

Shin Shi

3 customer reviews
Develop your own computer vision application using the power of Emgu CV
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Book Details

ISBN 139781783559527
Paperback118 pages

Book Description

Computer vision is an up and coming field within the field of Computer Science that combines image processing with machine learning. Emgu CV is a cross-platform library that can be used to practically explore really interesting features from image capturing to character recognition.

Emgu CV Essentials is a practical guide to the Emgu CV library, a .Net wrapper for the OpenCV image processing library. The main features and code samples are explained in order to give a better understanding of Emgu CV, with a wide variety of topics covered, from working with images and shape detection to creating a panorama from a series of images.

Learn the basics of Emgu CV, from creating your first project to covering the main areas of the computer vision field, with Emgu CV Essentials. Each chapter presents a separate project to the reader, and provides the background knowledge necessary to understand how the examples work. Learn how to start with EmguCV and try practical computer vision projects, or go straight to the topics you are most interested in, such as image processing, shape detection, face detection, optical character recognition, and more.

Emgu CV Essentials gives you the chance to explore the main areas of computer vision with helpful projects.

What You Will Learn

  • Install Emgu CV across multiple platforms
  • Understand the advantages of Emgu CV, and generate a “Hello World” computer vision project
  • Harness the power of Emgu CV methods to perform shape detection
  • Work on matrices and images using Emgu CV methods
  • Perform face and eye detection with Haar Classifier
  • Implement license plate detection and optical character recognition using OCR namespaces

Authors

Book Details

ISBN 139781783559527
Paperback118 pages
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