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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

Product type Paperback

Published in Jun 2018

Publisher Packt

ISBN-13 9781788998796

Length 202 pages

Edition 1st Edition

Languages

Julia

Tools

MXNet

Concepts

Artificial Intelligence

Author (1):

Dmitrijs Cudihins

View More author details

Table of Contents (11) Chapters

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

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Image Representation

The ImageFeatures package is used to determine features or descriptors of an image or its area and is later used in a different set of applications, such as object recognition, detection, image matching, and overlaying.

The following topics will be covered in this chapter:

Corner detection using the FAST algorithm
Corner detection using the imcorner function
The BRIEF algorithm
ORB, the rotation invariant algorithm
The BRISK, rotation, and scale invariant algorithms

The rest of the chapter is locked

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Authors (1)

Dmitrijs Cudihins

Dmitrijs Cudihins

Dmitrijs Cudihins is a skilled data scientist, machine learning engineer and software developer with more than eight years of commercial experience. He started his career as a web-developer, but after a while switched to data science and computer vision. For the past three years, Dmitrijs is working as a Senior Data Scientist providing consultancy services for the state-owned enterprise, where he uses Julia to automate communication with citizens by applying different Computer Vision techniques, including photo and scanned image processing, neural network classification and text retrieval.

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