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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

BRIEF – efficient duplicate detection method

Binary Robust Independent Elementary Features (BRIEF) is the first binary, but still efficient, feature point descriptor. BRIEF is an extremely simple feature descriptor and therefore cannot be applied to scaled or rotated images. Despite its limitations, it can be efficiently used for tasks such as duplicate detection.

Identifying image duplicates

In the following activities, we will be comparing an original image of a cat to a slightly modified and watermarked version of it.

Let's start by loading the image and converting it to a grayscale version, using the following code:

using Images, ImageFeatures, ImageDraw, ImageView
img1 = Gray.(load("sample-images/cat-3417184_640...
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