Book Image

Hands-On Computer Vision with Julia

By : Dmitrijs Cudihins
Book Image

Hands-On Computer Vision with Julia

By: Dmitrijs Cudihins

Overview of this book

Hands-On Computer Vision with Julia is a thorough guide for developers who want to get started with building computer vision applications using Julia. Julia is well suited to image processing because it’s easy to use and lets you write easy-to-compile and efficient machine code. . This book begins by introducing you to Julia's image processing libraries such as Images.jl and ImageCore.jl. You’ll get to grips with analyzing and transforming images using JuliaImages; some of the techniques discussed include enhancing and adjusting images. As you make your way through the chapters, you’ll learn how to classify images, cluster them, and apply neural networks to solve computer vision problems. In the concluding chapters, you will explore OpenCV applications to perform real-time computer vision analysis, for example, face detection and object tracking. You will also understand Julia's interaction with Tesseract to perform optical character recognition and build an application that brings together all the techniques we introduced previously to consolidate the concepts learned. By end of the book, you will have understood how to utilize various Julia packages and a few open source libraries such as Tesseract and OpenCV to solve computer vision problems with ease.
Table of Contents (11 chapters)
9
Assessments

OpenCV

OpenCV is the leading open source library for computer vision, developed over 18 years ago. Since then, it has been made available in any programming language, including Julia. OpenCV is known to be extremely fast, which makes it very effective for executing different processing and for use in real-time applications. We will use the OpenCV and the Julia package and make calls directly to the C++ API.

The following topics will be covered in this chapter:

  • Introduction to OpenCV
  • Usage of the OpenCV.jl package to call basic the OpenCV functions
  • Usage of the Cxx.jl package to call the OpenCV function
  • Object detection on images using OpenCV
  • Object tracking from videos using OpenCV