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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

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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

Preface

Through this book, there will be a thorough guidance for all developers who want to get started with building computer vision applications using Julia. Julia is well suited for image processing because of its ease of use and the fact that it lets you write easy-to-compile and efficient machine code.

Readers will be taken through various packages that support image processing in Julia, and will also tap into open source libraries such as Open CV and Tesseract to find optimum solutions to problems encountered in computer vision. They will learn to build a full-fledged image processing application using JuliaImages, perform basic to advanced image and video stream processing with Julia's APIs, and much more.