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Table Of Contents

Hands-On Computer Vision with Julia

By : Dmitrijs Cudihins

4 (1)

Buy this Book

Hands-On Computer Vision with Julia

4 (1)

By: Dmitrijs Cudihins

Buy this Book

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.

Preface

Who this book is for

What this book covers

To get the most out of this book

Get in touch

Free Chapter

Getting Started with JuliaImages

Technical requirements

Setting up your Julia

Reading images

Saving images

Using test images

Previewing images

Cropping, scaling, and resizing

Rotating images

Summary

Questions

Image Enhancement

Technical requirements

Images as arrays

Applying image filters

Summary

Questions

Image Adjustment

Technical requirements

Image binarization

Fundamental operations

Derived operations

Summary

Questions

Image Segmentation

Technical requirements

Supervised methods

Unsupervised methods

Summary

Questions

Technical requirements

Users are required to have Julia v. 1.0 or above installed. Julia can be downloaded from the official page at https://julialang.org/downloads/.

You can confirm your version number by typing VERSION into the Julia console or REPL, as shown in the following code snippet:

julia> VERSION
v"0.7.0-DEV.4465"

The Julia community does not keep sources other than the Julia website or GitHub up-to-date. Therefore, it is strongly advised to refer to the official website for the latest available version. For example, Ubuntu users get an older version when installing Julia using apt-get.

You should also clone or download a GitHub repository containing source code and sample images:

https://github.com/PacktPublishing/Hands-On-Computer-Vision-with-Julia

This can be done by going to the GitHub page and pressing either the Clone or Download button in the top right corner.

Tech Concepts

Programming languages

Tech Tools