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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

2. Image Enhancement FREE CHAPTER

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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Questions

Please answer the following questions to confirm that you have understood the material:

What is the primary difference between seeded region growing and the fast scanning algorithm?
When would you use supervised image segmentation algorithms, such as the seeded region growing technique?
How does increasing and decreasing the threshold merging step parameter for the Felzenszwalb algorithm affect the results?
When would you use the segment pruning technique?

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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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