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Hands-On Computer Vision with Julia

You're reading from   Hands-On Computer Vision with Julia Build complex applications with advanced Julia packages for image processing, neural networks, and Artificial Intelligence

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Product type Paperback
Published in Jun 2018
Publisher Packt
ISBN-13 9781788998796
Length 202 pages
Edition 1st Edition
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Author (1):
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Dmitrijs Cudihins Dmitrijs Cudihins
Author Profile Icon Dmitrijs Cudihins
Dmitrijs Cudihins
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Toc

Table of Contents (11) Chapters Close

Preface 1. Getting Started with JuliaImages FREE CHAPTER 2. Image Enhancement 3. Image Adjustment 4. Image Segmentation 5. Image Representation 6. Introduction to Neural Networks 7. Using Pre-Trained Neural Networks 8. OpenCV 9. Assessments
10. Other Books You May Enjoy

Images as arrays

JuliaImages are two-dimensional arrays, and every pixel can be either scalar or a one-dimensional array:

  • Grayscale images represent pixels as scalar values and they are called Gray
  • RGB is a three-dimensional array which represents each point in three different colors, such as red, green, and blue
  • PNG images with a transparent background are called RGBA

Accessing pixels

When you use a load command in Julia, it reads the image and encodes it in RGB. In the following example, we will see how Julia manages information for a single pixel:

using Images
img = load("sample-images/cats-3061372_640.jpg")
img[1:1, 1:1, :]

After Julia executes the preceding set of commands, you should expect to see the following...

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